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TESIS DOCTORAL
Editor: Universidad de Granada. Tesis DoctoralesAutor: Antonio del Castillo GodoyISBN: 978-84-9125-828-5URI:
El doctorando ANTONIO DEL CASTILLO GODOY y los directores de la tesis Dra.
Débora Godoy Izquierdo y Dra. María Luisa Vázquez Pérez
Garantizamos, al firmar esta tesis doctoral, que el trabajo ha sido realizado por el doctorando bajo la dirección de los directores de la tesis y hasta donde nuestro conocimiento alcanza, en la realización del trabajo, se han respetado los derechos de otros autores a ser citados, cuando se han utilizado sus resultados o publicaciones.
GRANADA, A 2/11/2015
Director/es de la Tesis Doctorando
Fdo.: Débora Godoy Izquierdo Fdo.: Antonio del Castillo Godoy
Fdo.: María Luisa Vázquez Pérez
I
REPRESENTACIONES
COGNITIVAS Y EMOCIONALES
DEL CÁNCER Y LA HIPERTENSIÓN:
APLICACIONES DEL MODELO DE
AUTORREGULACIÓN EN POBLACIÓN SANA
Programa de Doctorado: Aplicaciones y Diseños en Psicología y Salud
Departamento de Personalidad, Evaluación y Tratamiento Psicológico
Facultad de Psicología
Autor
Antonio del Castillo Godoy
Directoras
Dra. Dª. Débora Godoy Izquierdo
Dra. Dª. Mª Luisa Vázquez Pérez
Granada, Noviembre de 2015
II
III
Agradecimientos
IV
V
Cuando inicié este aventura dirigida a aportar mi granito de arena a un campo tan
amplio y tan diverso como es la Psicología de la Salud, no podía imaginar que en mi
viaje estaría acompañado por tanta gente maravillosa. Ahora, cuando va tocando a su
fin, es el momento de agradecer tanto como he recibido.
En primer lugar a mis directores de tesis, porque aunque al final han acabado
siendo las doctoras Débora Godoy Izquierdo y María Luisa Vázquez Pérez (Débora y
Lisi), mi aventura la comencé también con el Doctor Juan Francisco Godoy García.
Ellos me han enseñado el valor del esfuerzo, la disciplina y la rigurosidad y a la vez me
han trasmitido su energía, su cariño y su humanidad a cada paso que hemos dado.
Gracias de corazón por tanto como me habéis regalado en este tiempo, no sólo a nivel
científico, también en el humano.
A mis compañeros y compañeras del Grupo de Investigación de Psicología de la
Salud y Medicina Conductual de la Universidad de Granada. Con gente como
vosotros, el esfuerzo de construir horizontes nuevos en el mundo de la Psicología se
convierte en un verdadero placer.
Como no podría ser de otro modo, he de dar las gracias a todas las personas que
voluntariamente han accedido a participar en los estudios que forman parte de esta
Tesis Doctoral. Sin ellos nada de lo que hoy es por fin una realidad habría sido posible.
A mis AMIGOS Y AMIGAS (con mayúsculas), por quererme y ayudarme, cada
uno a su manera, a crecer como persona y a comprender que vivir sólo tiene sentido
cuando se está rodeado de gente que consigue sacar lo mejor de ti.
A mi familia, en especial a mi padre y a mi hermano, por su apoyo incondicional y
confianza en mí, por su comprensión y paciencia y por enseñarme el valor que tienen
los actos sobre las palabras.
También a ti, mamá, que aunque te fuiste demasiado pronto, no has dejado de
estar a mi lado ni un solo día. Estoy seguro de que esto que hoy culmina lleva una
parte muy importante de ti en cada una de sus páginas.
GRACIAS a todos y cada uno de vosotros.
VI
VII
A ti, por llenar con tu luz tantas oscuridades
VIII
IX
Índice
PARTE I INTRODUCCIÓN GENERAL 15
Capítulo 1 El cáncer 19
1.1. El problema del cáncer: Concepto, epidemiología y posibilidades de prevención
21
Capítulo 2 La hipertensión 27
2.1. El problema de la hipertensión: Concepto, epidemiología, riesgos para la salud y posibilidades de prevención
29
Capítulo 3 Las representaciones cognitivas y emocionales de la enfermedad: El Modelo de Autorregulación de Leventhal y colaboradores
35
3.1. El Modelo de Autorregulación y los modelos de enfermedad: Representaciones cognitivas y emocionales de la enfermedad
37
3.2. Contenidos de los modelos de enfermedad: Dimensiones de creencias y reacciones emocionales
41
3.3. Las creencias de enfermedades físicas y mentales: Aplicaciones del SRM
44
3.4. Evidencias empíricas sobre la relación entre las creencias de enfermedad, las acciones de manejo de la enfermedad y las consecuencias de la enfermedad
47
3.5. La influencia de otras variables en las creencias de enfermedad: El papel de las variables sociodemográficas y la experiencia directa o indirecta con la enfermedad
53
3.6. Aplicaciones clínicas del SRM y las creencias de enfermedad
54
3.7. La medida de los Modelos Personales de Enfermedad: El Cuestionario de Percepción de Enfermedad (IPQ), el Cuestionario de Percepción de Enfermedad Revisado (IPQ-R) y el Cuestionario Breve de Percepción de Enfermedad (B-IPQ)
55
Capítulo 4 El modelo de autorregulación y las enfermedades oncológicas (cáncer)
65
4.1. Aplicaciones del Modelo de Autorregulación al cáncer: Evidencias empíricas
67
4.1.1. Investigaciones realizadas con pacientes 67
X
4.1.2. Investigaciones realizadas con población general sana, población en riesgo y cuidadores
74
Capítulo 5 El modelo de autorregulación y las enfermedades cardiovasculares: La hipertensión
85
5.1. Aplicaciones del Modelo de Autorregulación a las enfermedades cardiovasculares: Evidencias empíricas
87
5.2. Aplicaciones del SRM a la hipertensión: Evidencias empíricas
89
5.2.1. Investigaciones realizadas con pacientes 89
5.2.2. Investigaciones realizadas en población general sana
97
PARTE II OBJETIVOS
99
Capítulo 6 Objetivo general, objetivos específicos e hipótesis específicas
101
PARTE III ESTUDIOS EMPÍRICOS 107
Capítulo 7 Estudio 1: Illness beliefs about cancer among healthy adults who have and have not lived with cancer patients. (International Journal of Behavioral Medicine, 18, 342-351)
109
1. Introduction 112
2. Methods 114
2.1. Participants 114
2.2. Measures 115
2.3. Procedure 115
3. Statistical analyses 116
4. Results 116
4.1. Non-specialised beliefs about cancer 116
4.2. Influence of gender, age and educational level on cancer representations
116
4.3. Influence of family experience with the disease on cancer representations
119
4.4. Relationship between gender and experience with the disease
119
4.5. Predictors of the illness perceptions on cancer 120
XI
5. Discussion 120
Capítulo 8 Estudio 2: Predicting cancer-related emotional distress from cognitive representations of cancer and causal attributions: A study with adults not suffering from cancer with or without family experience with the disease
129
1. Introduction 132
1.1. Emotional distress among cancer patients and their family members
132
1.2. Illness perceptions and cancer-related emotional distress among non-patients
133
2. Aims and hypotheses 139
3. Methods 140
3.1. Participants 140
3.2. Measures 141
3.3. Procedure 143
4. Study design and statistical analyses 143
5. Results 143
6. Discussion 145
Capítulo 9 Estudio 3: Illness beliefs about hypertension among non-patients and healthy relatives of patients. (Health, 5, 47-58)
173
1. Introduction 176
2. Methods 178
2.1. Participants 178
2.2. Measures 179
2.3. Procedure 180
3. Data analyses 181
4. Results 181
4.1. Non-specialised beliefs about hypertension 181
4.2. Influence of gender, age and educational level on hypertension representations
181
4.3. Influence of family experience with the disease on hypertension representations
186
XII
4.4. Predictors of the illness perceptions on hypertension 187
5. Discussion 187
Capítulo 10 Estudio 4: Hypertension representations in a community-based sample of Southern European non-hypertensive individuals and related preventive perceptions and behaviours
197
1. Introduction 200
1.1. Illness perceptions on HT 201
1.2. Illness representations, perceptions of risks and preventive efforts
207
1.3. Aims of the present research 209
2. Methods 211
2.1. Participants 211
2.2. Measures 213
2.2.1. Illness perceptions 214
2.2.2. Perceptions of HT as a risk factor 216
2.2.3. Perceptions of preventive behaviours and practice of preventive behaviours
216
2.2.4. Sociodemographic data 216
2.3. Procedure 216
3. Study design and statistical analyses 217
4. Results 217
4.1. Non-specialised beliefs about HT 217
4.2. Predictors of HT perceptions 220
4.3. Preventive perceptions and behaviours 221
4.4. Associations among illness perceptions for HT, perceptions of HT as a risk factor and perceived and practiced preventive behaviours
223
4.5. Predictors of risk perceptions, prevention perceptions and preventive behaviours
225
XIII
5. Discussion 227
Capítulo 11 Estudio 5: Multidimensional psychosocial profiles clustering illness perceptions and preventive behaviours for hypertension among non-hypertensive individuals
251
1. Introduction 254
1.1. Illness representations schemata and efforts for lowering and controlling high blood pressure
256
1.2. Aims of the present research 266
2. Methods 267
2.1. Participants 267
2.2. Measures 269
2.2.1. Illness perceptions 269
2.2.2. Perceptions of HT as a risk factor 272
2.2.3. Perceptions of preventive behaviours and practice of preventive behaviours
272
2.2.4. Sociodemographic data 272
2.3. Procedure 272
3. Study design and statistical analyses 273
4. Results 275
5. Discussion 282
PARTE IV DISCUSIÓN 305
Capítulo 12 Discusión general, limitaciones y perspectivas futuras 307
12.1. Discusión general 309
12.2. Limitaciones y perspectivas futuras 329
Capítulo 13 Conclusiones generales 333
PARTE V REFERENCIAS BIBLIOGRÁFICAS 343
XIV
15
PARTE I:
INTRODUCCIÓN GENERAL
16
17
De acuerdo con la OMS (2013), las principales causas de muerte a nivel mundial se
relacionan con problemas de carácter cardiovascular. En concreto, esta organización
señaló que en 2012 la principal causa de mortalidad fue la cardiopatía isquémica, con
un 13.2% de las muertes, seguida de la afección cerebrovascular, con un 11.9%.
Además indica explícitamente que un 2% de las muertes se deben a enfermedad
hipertensiva. La OMS asimismo muestra que, en comparación con el año 2000, las
muertes originadas por cardiopatía isquémica y afección cerebrovascular se habían
incrementado en 2012 en más de un millón de casos a nivel mundial y cuando
hablamos de enfermedad hipertensiva en alrededor de 200000 casos. En su informe
sobre hipertensión (OMS, 2013), se refleja que la hipertensión, al constituir uno de los
principales factores de riesgo para este tipo de afecciones, explicaría alrededor del 7%
de las muertes y la discapacidad producida a lo largo de la vida de una persona (Lim
et al., 2012). En cuanto al cáncer, constituye la primera causa de mortalidad en todo el
mundo, con cifras que superan los 8 millones de defunciones por cualquiera de los
tipos de cáncer (OMS, 2015), y la tendencia además es que estas aterradoras cifras
se incrementen, estimándose que dentro de veinte años el cáncer provoque más de 20
millones de defunciones anuales.
En España, el último informe emitido por el Instituto Nacional de Estadística sobre
patrones de mortalidad en 2013 señala que las enfermedades del sistema circulatorio
constituyen la primera causa de mortalidad en nuestro país, con un 30.3% del total de
las muertes, seguidas del cáncer con un 28.4%. En el caso de los hombres la primera
causa fue el cáncer, siendo en el de las mujeres las enfermedades cardiovasculares.
18
19
CAPÍTULO 1
El cáncer
20
21
1.1. El problema del cáncer: Concepto, epidemiología y posibilidades de
prevención
Cuando hablamos de cáncer en general nos estamos refiriendo a un amplio grupo de
enfermedades que pueden afectar a cualquier parte del organismo. También se habla
de «tumores malignos» o «neoplasias malignas». El cáncer es un término muy amplio
que abarca más de doscientos tipos diferentes y cada uno de ellos
posee características particulares, que en algunos casos son completamente distintas
a las del resto de cánceres, pudiendo considerarse enfermedades independientes, con
sus causas, su evolución y su tratamiento específicos. Una característica básica del
cáncer es la multiplicación rápida de células anormales que se extienden más allá de
sus límites habituales y pueden invadir partes adyacentes del cuerpo o propagarse a
otros órganos, proceso conocido como metástasis. El cáncer comienza en una célula.
La transformación de una célula normal en tumoral es un proceso multifásico y suele
consistir en la progresión de una lesión precancerosa a un tumor maligno. Estas
alteraciones son el resultado de la interacción entre los factores genéticos del paciente
y tres categorías de agentes externos (OMS, 2015, disponible en
www.who.int/mediacentre/factsheets/fs297/.es):
Carcinógenos físicos, como las radiaciones ultravioleta e ionizantes;
Carcinógenos químicos, como los asbestos, los componentes del humo de
tabaco, las aflatoxinas (contaminantes de los alimentos) o el arsénico
(contaminante del agua de bebida);
Carcinógenos biológicos, como las infecciones causadas por determinados
virus, bacterias o parásitos.
El envejecimiento es otro factor fundamental en la aparición del cáncer. La
incidencia de esta enfermedad aumenta de forma exponencial con la edad, muy
probablemente porque se van acumulando factores de riesgo de determinados tipos
de cáncer. La acumulación general de factores de riesgo se combina con la tendencia
que tienen los mecanismos de reparación celular a perder eficacia con la edad.
El cáncer constituye uno de los más graves problemas de salud a nivel mundial ya
que es una de las principales causas de morbilidad y mortalidad en todo el mundo. La
OMS estima que en 2012 hubo unos 14 millones de nuevos casos y 8.2 millones de
muertes relacionadas con el cáncer, convirtiéndolo en la primera causa de muerte en
el mundo. La tendencia es que la prevalencia de esta enfermedad se incremente, de
modo que se prevé que el número de nuevos casos aumente en aproximadamente un
22
70% en los próximos 20 años, llegando a alcanzar los 22 millones de personas
afectadas por esta enfermedad. Son los países subdesarrollados o en vías de
desarrollo los que se enfrentan a mayores tasas de incremento de la enfermedad; más
del 60% de los nuevos casos anuales totales del mundo se producen en África, Asia,
América Central y Sudamérica y estas regiones representan el 70% de las muertes por
cáncer en el mundo, mientras en los países desarrollados (Australia, Estados Unidos y
Europa occidental) la incidencia de la enfermedad es más alta pero con una mortalidad
general de tan sólo un 30%. En concreto, actualmente en la Unión Europea hay
estimados 2.66 millones de nuevos casos de cáncer y 1.28 millones de muertes
relacionadas por año. Por otra parte, debido a los efectos del crecimiento de la
población y el envejecimiento, la carga del cáncer en Europa se prevé que aumente en
los próximos años y décadas (OMS, 2015)
De acuerdo con el grado de mortalidad a nivel mundial en el año 2012, los
principales tipos de cánceres son:
Pulmonar (1.59 millones de defunciones);
Hepático (745000 defunciones);
Gástrico (723000 defunciones);
Colorrectal (694000 defunciones);
Mamario (521000 defunciones);
Esófago (400000 defunciones).
En 2012, los cánceres diagnosticados con más frecuencia en el hombre fueron los
de pulmón, próstata, colon y recto, estómago e hígado mientras que en la mujer fueron
los de mama, colon y recto, pulmón, cuello uterino y estómago (OMS, 2015).
En nuestro país, según los últimos datos publicados por el Instituto Nacional de
Estadística de 2014, los tumores fueron la segunda causa de muerte en ambos sexos,
responsables de 27.5 de cada 100 defunciones. Por sexo, los tumores fueron la
primera causa de muerte en los hombres (con una tasa de 296.3 fallecidos por cada
100000) y la segunda causa en mujeres (con 180.0 fallecidas por cada 100000). De
acuerdo con esos datos, el cáncer con una mayor incidencia de forma general es el
colorrectal (15%), el que produce una mayor mortalidad es el cáncer de pulmón
(20.6%) y el que tiene una prevalencia a 5 años más alta es el cáncer de mama
(17.9%). En el caso de los hombres, la incidencia más alta es para el cáncer de
próstata (21.7%), la mortalidad más elevada para el cáncer de pulmón (27.4%) y la
prevalencia a 5 años mayor para el cáncer de próstata (31.4%), mientras que en las
mujeres la mayor incidencia, mortalidad y prevalencia a 5 años es para el cáncer de
mama (29%, 15.5% y 40.8%, respectivamente) (ver Tabla 1) (Ferlay et al., 2012).
23
Tabla 1. Cánceres más frecuentes en España en 2012. Extraído de Ferlay et al.
(2012).
Hombre Mujer Ambos sexos
1 Próstata Mama Colorrectal
2 Pulmón Colorrectal Próstata
3 Colorrectal Cuerpo de útero Pulmón
4 Vejiga Pulmón Mama
5 Estómago Ovario Vejiga
En el documento “Las cifras del Cáncer en España 2014” elaborado por la
Sociedad Española de Oncología Médica se destaca que, de acuerdo con un informe
de salud de 2013 sobre indicadores de la Organización para la Cooperación y
Desarrollo (OECD) en el que se aportan datos sobre cambios en las tasas de
mortalidad por cáncer entre 1990 y 2011, en España se ha producido un descenso del
13%, encontrándose en la media de los países de la OECD, pero que es muy inferior a
otros países europeos de nuestro entorno o a USA. Sin embargo, a pesar de la
reducción en la mortalidad, los casos de cáncer no dejan de aumentar y se espera que
para este año 2015 aparezcan en España 227076 nuevos casos, con un crecimiento
mayor a costa de la población de más de 65 años (Ferlay et al., 2012).
Una cuestión fundamental y que requeriría de una reflexión profunda por parte de
las instituciones de salud a nivel mundial es el papel que los factores conductuales y
de estilo de vida juegan en la aparición, evolución y mortalidad asociada al cáncer, y
que permitirían reducir la prevalencia de la enfermedad a través de la prevención
(primaria, secundaria o terciaria). La OMS estima que aproximadamente un 30% de
las muertes por cáncer son debidas a cinco factores de riesgo conductuales: índice de
masa corporal elevado, ingesta reducida de frutas y verduras, falta de actividad física,
consumo de tabaco y consumo de alcohol. Así, el consumo de tabaco es el factor de
riesgo más importante, y es la causa más del 20% de las muertes mundiales por
cáncer en general, y alrededor del 70% de las muertes mundiales por cáncer de
pulmón. Algunas infecciones crónicas también constituyen factores de riesgo, y son
más importantes en los países de ingresos medios y bajos. Otros factores que pueden
causar cáncer y que son perfectamente prevenibles serían radiaciones ionizantes y no
ionizantes, la contaminación del aire de las ciudades y el humo generado en la
vivienda por la quema de combustibles sólidos.
24
En nuestros días poseemos elevado conocimiento acerca de las causas del
cáncer y de cómo podemos prevenirlo y tratarlo. Es posible, por tanto, lograr una
reducción y control de la enfermedad aplicando diferentes estrategias orientadas a tres
niveles básicos. Primero a través de la prevención, introduciendo cambios en el estilo
de vida que afecten a los factores conductuales ya señalados y que constituyen
importantes causas de la enfermedad. En segundo lugar, fomentado la detección
temprana que permita intervenir sobre el cáncer en las fases iniciales de la
enfermedad. Y, por último, aplicando los tratamientos más apropiados de acuerdo con
el tipo de cáncer y el estadio de su desarrollo. Muchos cánceres tienen grandes
probabilidades de curarse si se detectan tempranamente y se tratan de forma
adecuada.
Un ejemplo claro del esfuerzo de las administraciones públicas, en este caso de la
Comisión Europea, para la prevención del cáncer, es el llamado Código Europeo
Contra el Cáncer desarrollado por la Agencia Internacional para la Investigación sobre
el Cáncer (IARC) y la delegación especializada en la enfermedad de la OMS. Dicho
código, que va ya por la cuarta edición desde 1987, trata de concienciar a la población
sobre la importancia de la prevención de esta enfermedad a través de la propuesta de
acciones concretas para ser implantadas en la vida cotidiana, fomentado de ese modo
estilos de vida más saludables. Basado en la evidencia científica disponible, el nuevo
código establece doce maneras de adoptar estilos de vida más saludables y optimizar
la prevención del cáncer en Europa (ver Tabla 2).
El documento hace hincapié en la importancia de evitar el tabaco, el alcohol y la
exposición excesiva al sol, así como los beneficios de mantener un peso corporal
saludable y la actividad física. También recomienda la participación en programas de
detección para el cáncer de intestino, mama y cuello de útero. En esta nueva edición
también se incluyen otras recomendaciones importantes para reducir el riesgo de
padecer cáncer, como la vacunación contra el virus del papiloma humano, la lactancia
materna y la limitación en el uso de la terapia de sustitución hormonal. Igualmente
recomienda averiguar la exposición potencial a la radiación de radón en el hogar y la
adopción de medidas para reducir sus niveles.
25
Tabla 2. Código Europeo contra el cáncer resumido. 4ª edición. Comisión Europea
(2014).
Doce maneras de reducir el riesgo de cáncer 1. No fume. No consuma ningún tipo de tabaco. 2. Haga que su hogar sea libre de humo. Apoye las políticas libres de humo en su lugar de trabajo. 3. Tome medidas para tener un peso corporal saludable. 4. Realice alguna actividad física en la vida cotidiana. Limite el tiempo que pasa sentado. 5. Mantenga una dieta saludable: - Coma muchos cereales integrales, legumbres, verduras y frutas. - Limite los alimentos altos en calorías (ricos en azúcar o grasa) y las bebidas azucaradas. - Evite la carne procesada: limite la carne roja y los alimentos con alto contenido de sal. 6. Si usted bebe alcohol de cualquier tipo, limite su consumo. No consumirlo es mejor para la prevención del cáncer. 7. Evite el exceso de sol, especialmente en niños. Use protección solar. No tome rayos UVA. 8. En el lugar de trabajo, protéjase frente a sustancias que causen cáncer siguiendo las instrucciones de salud y seguridad. 9. Averigüe si está expuesto a la radiación de niveles naturalmente altos de radón en su hogar. Tome medidas para reducirlo si éstos fueran altos. 10. Para las mujeres: -La lactancia materna reduce el riesgo de cáncer de la madre. Si puede, amamante a su bebé. -La terapia de sustitución hormonal (TRH) aumenta el riesgo de ciertos tipos de cáncer. Limite su uso. 11. Asegúrese de que sus hijos participen en los programas de vacunación para: -Hepatitis B (recién nacidos). -Virus del papiloma humano o VPH (para las niñas). 12. Forme parte en los programas de cribado del cáncer organizados para: -Cáncer de intestino (hombres y mujeres). -Cáncer de mama (mujeres). -Cáncer de cuello de útero (mujeres).
26
27
CAPÍTULO 2
La hipertensión
28
29
2.1. El problema de la hipertensión. Concepto, epidemiología, riesgos para la
salud y posibilidades de prevención
La hipertensión arterial, como su propio nombre indica, se caracteriza por unos niveles
elevados de presión de la sangre, que se encuentran por encima de los requerimientos
metabólicos del organismo. En este sentido, no existe un acuerdo acerca de los límites
entre la normotensión y la hipertensión, variando los criterios en función del autor o de
la institución que los propone. Sin embargo, y siguiendo a la Organización Mundial de
la Salud (OMS), se podría considerar que la hipertensión se caracteriza por una
presión arterial sistólica (PAS) de 140 mmHg o superior y/o una presión arterial
diastólica (PAD) de 90 mmHg o superior en una persona que no está siendo tratada
con fármacos antihipertensivos (ver Tabla 3). Hay que destacar que los niveles de
presión sanguínea se van a ir incrementando con la edad, lo que contribuye a que la
hipertensión sea un reductor de la esperanza de vida.
Tabla 3. Clasificación de los niveles de presión arterial*. Adaptado de la Guía
Española de Hipertensión Arterial (2005) realizada por la Sociedad Española de
Hipertensión-Liga Española para la lucha contra la Hipertensión Arterial (SEH-LELHA).
Óptima Normal Normal-alta Grado 1 Grado 2 Grado 3
PAS mmHg <120 120-139 130-139 140-159 160-179 ≥ 180
PAD mmHg <80 80-84 85-89 90-99 100-109 ≥ 110
**Normal Estadio 1
Normotensión o Hipertensión controlada
Categoría PA
Hipertensión
Prehipertensión Estadio 2
La Guía Europea (ESH/ESC 2003) establece el diagnóstico de hipertensión con cifras
de PAS ≥ 140 mmHg y de PAD ≥ 90 mmHg.
* European Society of Hypertension-European Society of Cardiology Guidelines
Committe3.
** Clasificación de los niveles de presión arterial según Joint National Committee of
Prevention, Detection, Evaluation and Treatment of Hypertension.
PA: Presión arterial; PAS: Presión arterial sistólica; PAD: Presión arterial diastólica.
De acuerdo con su génesis podemos hablar básicamente de dos tipos de
hipertensión:
30
1) Hipertensión esencial o primaria: Su origen no se puede determinar
orgánicamente, se trata, por tanto, de un trastorno de carácter funcional. El
95% de los pacientes hipertensos se englobaría en esta categoría.
2) Hipertensión secundaria: Se debe a un fallo o un daño orgánico. A veces la
hipertensión secundaria es el resultado de los propios daños generados por la
hipertensión esencial no tratada.
La hipertensión constituye un trastorno cardiovascular que afecta en los países
desarrollados a alrededor del 40% de la población (OMS, 2013). En nuestro país la
hipertensión constituye también un importante problema de salud pública, de modo
que en la población general adulta la prevalencia era hace una década de
aproximadamente un 35%, llegando al 40% en edades medias y a más del 60% en los
mayores de 60 años, afectando en total a unos 10 millones de individuos adultos
(Banegas, 2005). Datos más recientes han mostrado tasas aún más elevadas, de
modo que esta enfermedad afecta a más del 47% de los hombre y el 39% de las
mujeres con tasas de prevalencia más altas en las regiones del sur (44%) comparadas
con otras regiones (Grau et al., 2011; Valdés et al., 2014). Además, las estimaciones
sobre las tasas de prevalencia a nivel mundial para el futuro son alarmantes, indicando
un incremento de un 60% para el año 2025 (Kearney et al., 2005). Otro problema
fundamental cuando hablamos de la prevalencia de la hipertensión tanto en España
como en otros países del mundo estriba en que cerca de un tercio de los afectados no
son conscientes de ello y sólo un 50% del total de personas con hipertensión se
encuentra en tratamiento, de modo que sólo en 1 de cada 3 hombres y en 1 de cada 2
mujeres su hipertensión se encuentra bien controlada por las terapias (Banegas et al.,
2011; Félix-Redondo et al., 2011; Guo, He, Zhang y Walton, 2012; Ortíz et al., 2011).
Este trastorno no se puede considerar como una afección severa en sí misma y
no se va a ver acompañado de una sintomatología específica, por ejemplo dolor,
malestar o fiebre, lo que dificulta su detección. Debido a ello, la hipertensión es
conocida como el “asesino silente”, ya que constituye un factor de riesgo de primer
orden para el desarrollo de graves enfermedades relacionadas con importantes
secuelas e incluso con la muerte, como pueden ser las cardiopatías isquémicas, las
patologías cerebrovasculares, la insuficiencia renal o la claudicación intermitente (ver
Tabla 4). En este sentido, la hipertensión arterial es uno de los principales factores de
riesgo modificables para la cardiopatía isquémica y el principal factor de riesgo para
los accidentes vasculares cerebrales, tanto hemorrágicos como trombóticos (OMS,
2013). Los datos procedentes de estudios epidemiológicos prospectivos indican que el
riesgo de padecer un problema cardiovascular (incluyendo eventos cardíacos,
31
problemas vasculares y accidentes cerebrovasculares fundamentalmente) se
incrementa exponencialmente conforme aumenta el valor de la presión arterial (PA)
(Lloyd-Jones et al., 2010; Mancia et al., 2013). Además, la hipertensión es causa
frecuente de insuficiencia cardíaca en el adulto y favorece otras enfermedades
cardiovasculares (aneurisma disecante, etc.) y renales (Banegas et al., 2009). En
nuestro país, el 30.3% de las causas de muerte en 2013 se relacionaron con
enfermedades del sistema circulatorio, destacando en primer lugar las enfermedades
isquémicas seguidas de las cerebrovasculares, problemas que en muchos casos
pueden guardar relación con una elevada presión arterial (INE, 2014).
Tabla 4. Clasificación de la hipertensión según la importancia de las lesiones
orgánicas. Adaptado de OMS. Prevención Primaria de la hipertensión arterial. Informe
Técnico n.686, Ginebra, 1983.
Fases Lesiones orgánicas
I No se aprecian signos objetivos de alteraciones orgánicas
II Aparece al menos uno de los siguientes signos:
Hipertrofia del ventrículo izquierdo
Estrechez focal y generalizada de las arterias retinianas
Proteinuria y ligero aumento de la concentración de creatinina en el plasma
III Aparecen síntomas y signos de lesión de distintos órganos a causa de la
hipertensión:
Corazón: insuficiencia del ventrículo izquierdo
Encéfalo: hemorragia cerebral, cerebelar o del tallo encefálico; encefalopatía
hipertensiva
Fondo de ojo: hemorragias y exudados retinianos con o sin edema papilar
Otros cuadros frecuentes en la Fase III, pero no tan claramente derivados de
manera directa de la hipertensión:
Corazón: angina pectoris; infarto de miocardio
Encéfalo: trombosis arterial intracraneana
Vasos sanguíneos: aneurisma disecante; arteriopatía oclusiva
Riñón: insuficiencia renal
Un problema añadido es el hecho de que un importante porcentaje de individuos,
alrededor del 34% de la población adulta (Banegas, 2005; Guo et al., 2011; Marta et
al., 2013; Ostrowski, Artyszuk, Lewandowski y Gaciong, 2008; Zhang y Li, 2011),
presenta unos niveles de PA no considerados como hipertensivos pero que se
32
encuentran en unos niveles no óptimos que se podrían denominar como
prehipertensivos y que, dada la continuidad del riesgo cardiovascular a lo largo de los
niveles de PA, hacen que estas personas presenten también riesgo de sufrir eventos
cardiovasculares (Banegas et al., 1999; Chobanian et al., 2003). En este sentido, la
clasificación realizada en el Séptimo Informe del Joint National Committee on
Prevention, Detection, Evaluation and Treatment of Hypertension de 2007 acerca del
manejo de la hipertensión utiliza el término “prehipertensión” para las categorías de PA
con valores de 120-139/80-89 mmHg, con el fin de identificar a aquellos individuos en
los que la intervención temprana basada en cambios en el estilo de vida podría reducir
la PA y el progreso a hipertensión con el paso de los años.
En general, se podría decir que el grado de conocimiento y de tratamiento
farmacológico de la hipertensión arterial en la población general de España es
relativamente elevado, pero el control se sitúa aún en cifras inferiores al 40% (ver
Tabla 5) y difiere en función del ámbito asistencial y del tipo de encuesta realizada
(Banegas, Rodríguez Artalejo, Cruz, Guallar y Rey, 1998; Banegas y Rodríguez
Artalejo, 2002; Banegas et al., 2009; Llisterri et al., 2008).
Tabla 5. Prevalencia, conocimiento, tratamiento y control de la hipertensión en adultos
en España entre 1980 y 2002. Tomado de Banegas (2005).
1980 1990 1998 2002
30% 35% 35% 35%
40% 50% 60% 65%
40% 72% 78% 85%
Tratamiento en el total de hipertensos 16% 36% 50% 55%
10% 13% 16% 25%
4% 9% 13% 21%
2% 5% 8% 14%Control en el total de hipertensos
Prevalencia (PAS/PAD ≥ 140/90 mmHG)
Conocimiento en hipertensos
Tratamiento* en hipertensos conocidos
Control en hipertensos tratados
Control en hipertensos conocidos
* Tratamiento farmacológico.
Por ello, y debido al enorme riesgo para la salud asociado a una PA elevada, y
teniendo en cuenta además que las cifras de control de la hipertensión parecen
situarse en unos niveles aún demasiado bajos en nuestro país y en el mundo en
general, parece lógico pensar en la necesidad de desarrollar actuaciones dirigidas a
mejorar el conocimiento sobre la enfermedad así como de prevención y control de la
misma no sólo en población hipertensa sino también en población prehipertensa o en
riesgo de padecer hipertensión, así como en la población general.
33
De acuerdo con la elevada prevalencia y los importantes riesgos para la salud
asociados a este asesino silente, la prevención de la hipertensión constituye un
objetivo fundamental en las políticas de salud pública, ya que si se logra prevenir o
disminuir la PA elevada muchos de los riesgos relacionados con ella podrían ser
evitados. En este sentido, un buen número de factores de riesgo de carácter
controlable han sido bien establecidos, entre los que se incluyen aspectos
relacionados con el estilo de vida y el comportamiento como el peso excesivo,
patrones de alimentación inadecuados, dietas altas en sal y bajas en potasio, reducida
actividad física y consumo de alcohol y tabaco (Chobanian et al., 2003; Dikinson et al.,
2006; Forman, Stampfer y Curhan, 2009; Frisoli, Schmieder, Grodzicki y Messerli,
2011; Geleijnse, Kok y Grobbee, 2004; Liu et al., 2012; Lloyd-Jones et al., 2010;
Mozaffarian, Wilson y Kannel, 2008; Perk et al., 2012; WHO, 2013). Además, se han
identificado factores de riesgo de tipo emocional, incluyendo el estrés (Babu et al.,
2014; Backé, Seidler, Latza, Rossnagel y Schumann, 2012; Chida y Steptoe, 2010;
Gasperin, Netuveli, Soares Dias-da-Costa y Pattussi, 2009; Landsbergis, Dobson,
Koutsouras y Schnall, 2012; Nagele et al., 2014; Rainforth et al., 2007; Sparrenberger
et al., 2009), la ansiedad (Olafiranye, Jean-Louis, Zing, Nunes y Vincent, 2011; Player
y Peterson, 2011) y la depresión (Meng et al., 2012; Nabi et al., 2011), aunque es
necesario señalar que parecen ser factores causales más importantes la presencia de
episodios recurrentes (Nabi et al., 2011; Wiehe et al., 2006) o los tratamientos con
antidepresivos y no la depresión en sí misma (Delaney et al., 2010; Licht et al., 2009).
La prevalencia de estos factores de riesgo es elevada en la población general y,
de acuerdo con la OMS (2013), el aumento de las tasas de incidencia y prevalencia de
la hipertensión a nivel mundial puede explicarse por la elevada incidencia de estos
factores de riesgo junto con el aumento de la población y el incremento progresivo de
su longevidad. Por ello, es fundamental desarrollar actuaciones de prevención tanto
primaria como secundaria que reduzcan o minimicen el impacto de estos factores de
riesgo de manera especial en la población prehipertensa (Guo et al., 2011). En este
sentido, intervenciones dirigidas a la población general que permitan disminuir los
niveles de PA van a contribuir a la reducción de la morbilidad, la mortalidad o al menos
retrasar el desarrollo de la enfermedad y de los riesgos que ésta conlleva para la salud
(Chobanian et al., 2003).
Debido al importante impacto a nivel mundial del cáncer y la hipertensión, las
cifras de morbi-mortalidad asociadas a ambas enfermedades y las posibilidades de
prevención tanto del cáncer como de la hipertensión, la presente Tesis Doctoral tiene
el objetivo de realizar una aportación significativa desde el ámbito de la Psicología de
la Salud a la mejora del control de estas "epidemias" a través de un conocimiento
34
profundo de algunos de los factores psicosociales que contribuyen a su prevención,
conocimiento ajustado y manejo, siguiendo para ello uno de los modelos teóricos
sobre creencias de enfermedad más validados desde el punto de vista empírico, el
Modelo de Autorregulación.
35
CAPÍTULO 3
Las representaciones cognitivas y emocionales
de la enfermedad:
El Modelo de Autorregulación
de Leventhal y colaboradores
36
37
3.1. El Modelo de Autorregulación y los modelos de enfermedad:
Representaciones cognitivas y emocionales de la enfermedad
En los últimos años ha adquirido gran relevancia en el seno de la Psicología de la
Salud el estudio de los distintos factores psicosociales relacionados con el modo en
que los seres humanos percibimos la salud y la enfermedad y las diferentes
estrategias que adoptamos respecto a ambas. Conocer esas variables reviste una
gran importancia de cara al diseño e implementación de estrategias efectivas de
intervención para la promoción de la salud, la prevención de la enfermedad, el
tratamiento y rehabilitación de enfermedades, la adherencia al tratamiento, la
educación al paciente y el asesoramiento familiar. Dentro del conjunto de estos
factores destacan los de carácter cognitivo, especialmente las creencias, actitudes y
expectativas, ya que dichas variables parecen predecir mejor el ajuste a la enfermedad
y sus síntomas que las de carácter “objetivo” relacionadas con la propia enfermedad
(Sensky, 1990; Sensky y Catalan, 1992).
Estos factores cognitivos relacionados con la enfermedad están basados en gran
medida en los modelos personales o representaciones mentales no especializados
que la persona posee sobre la salud y enfermedad en general, o sobre una alteración
en particular, y que se derivan de sus creencias, conocimientos y experiencias, así
como de las informaciones que han recibido de otros sobre dicho estado (Leventhal,
Diefenbach y Leventhal, 1992; Leventhal, Meyer y Nerenz, 1980; Leventhal, Nerenz y
Steele, 1984).
Los modelos personales de enfermedad incluyen las diferentes atribuciones y
creencias que la persona ha ido construyendo acerca de diferentes aspectos o
dimensiones relacionados con la enfermedad. Estas creencias permiten a las
personas (enfermos o no) dar sentido a cada condición específica y crear una
concepción integrada de la enfermedad en general o de un trastorno en particular,
evaluar los riesgos para su salud e iniciar las estrategias y planes de acción
necesarios para enfrentarse a ellos. De todo lo dicho anteriormente se puede deducir
que las personas actúan a partir de la representación mental que poseen acerca de su
enfermedad y no tanto a partir de los síntomas o la evidencia objetiva de la alteración.
Diversos modelos teóricos sobre la conducta en relación con la salud y la
enfermedad tienen en cuenta el papel de dichos factores cognitivos (i.e., atribuciones,
creencias, actitudes, expectativas…) a la hora de explicar y modificar los
comportamientos relacionados con la salud y la enfermedad. En este sentido, en la
actualidad, el modelo teórico que más apoyo empírico ha recibido acerca de los
modelos individuales de enfermedad, y que constituye la base teórica de esta Tesis
38
Doctoral, es el Modelo de Autorregulación (SRM, Self-Regulation Model) de Leventhal
y colaboradores (Cameron y Leventhal, 2003; Diefenbach y Leventhal, 1996;
Leventhal, Brissette y Leventhal, 2003; Leventhal y Diefenbach, 1991; Leventhal,
Leventhal y Cameron, 2001; Leventhal, Leventhal y Contrada, 1998; Leventhal et al.,
1980, 1984, 1992, 1997). La característica más relevante del SRM es que subraya la
importancia que tiene la perspectiva de la propia persona sobre sus experiencias con
la enfermedad para entender sus esfuerzos para manejar y adaptarse a su condición y
sus reacciones emocionales.
Según el SRM, las personas sanas y enfermas construimos activamente modelos
personales o representaciones mentales no especializadas de la salud y de la
enfermedad en general, o de una alteración en particular, para darle sentido y
comprender nuestro estado y autorregular nuestras respuestas en relación con la
salud y la enfermedad. Dicho de otro modo, los modelos de enfermedad pueden ser
entendidos como esquemas mentales autogenerados que orientan todo el proceso de
establecimiento e implementación de estrategias muy diversas, tanto conductuales
como emocionales, para hacer frente a cualquier amenaza para la salud. Esas
estrategias que adoptemos a su vez determinarán la evolución de nuestro estado de
salud y sus consecuencias en nuestro bienestar y funcionamiento cotidiano. Según el
SRM, somos agentes activos en los procesos de toma de decisiones y solución de
problemas en relación con la salud y la enfermedad (Diefenbach y Leventhal, 1996), y
mediante procesos de autorregulación manejamos información externa e interna -ya
sea congruente con el conocimiento especializado o no- sobre nuestro estado, las
amenazas a la salud y las consecuencias de éstas, y ponemos en marcha los
comportamientos que estimamos más adecuados para conseguir nuestras metas de
protección y promoción de la salud, de prevención de la enfermedad o de tratamiento y
rehabilitación de la misma. Las personas utilizamos estas representaciones para
evaluar los riesgos para nuestra salud y bienestar, y ejecutar en consecuencia
diferentes acciones comportamentales y emocionales para hacer frente a los riesgos
percibidos y proteger nuestra salud. En personas enfermas las representaciones de su
enfermedad también determinan sus esfuerzos para manejar su condición, controlar
las consecuencias de la enfermedad en sus vidas y recuperar la salud, el bienestar y
la calidad de vida.
Así, el SRM otorga a estas representaciones “una posición central” en los
procesos cognitivos y emocionales que se relacionan con la evaluación e
interpretación de la salud/enfermedad y los procesos de adaptación y afrontamiento
cuando la salud se ve amenazada (Diefenbach y Leventhal, 1996, p. 34), y las
considera como “guías para la acción” más persuasivas incluso que el conocimiento
39
abstracto (p.e., científico-médico) que la persona pueda poseer sobre la enfermedad
(Leventhal et al., 1992, p. 144). A su vez, estos comportamientos determinarán en
cierta medida las características de la enfermedad y el impacto, en un sentido amplio,
que ésta tendrá en el paciente.
Por tanto, para el SRM existe una relación causal directa entre el modelo personal
de la enfermedad y las respuestas emocionales y de afrontamiento ante la misma,
acciones dirigidas tanto a la solución de problemas como al manejo de las respuestas
emocionales en relación con la enfermedad, como por ejemplo búsqueda de ayuda,
realización de exámenes médicos, manejo de los síntomas, actividades de
autocuidado, cambios en su estilo de vida o autorregulación emocional (Godoy-
Izquierdo, López-Chicheri, López-Torrecillas, Vélez y Godoy, 2007; Leventhal et al.,
1980, 1984, 1997,1998). El SRM también propone una relación indirecta entre dichas
creencias o representaciones y las consecuencias de la enfermedad para el paciente o
su familia, como pueden ser la calidad de vida, el bienestar subjetivo o el
funcionamiento cotidiano, en la que las acciones de afrontamiento y manejo de la
persona, determinadas a su vez en gran medida por dichas creencias personales
sobre la enfermedad, juegan un papel mediador. Existe una amplia evidencia obtenida
con poblaciones con diferentes enfermedades físicas y mentales que apoya la relación
postulada en el SRM entre representaciones de la enfermedad y estrategias
conductuales concretas, así como entre éstas y un amplio rango de consecuencias
(ver French, Cooper y Weinman, 2006; Hagger y Orbell, 2003; Kaptein et al., 2003;
Kucukarslan, 2012; Lobban, Barroclough y Jones, 2003; Mc Sharry, Moss-Morris y
Kendrich, 2011; Petrie y Weinman, 1997; para una revisión).
El SRM es un modelo de feedback circular en el que las consecuencias de las
acciones emprendidas por la persona pueden modificar a su vez las creencias acerca
de la enfermedad. El modelo, como ya se ha señalado, parte de la consideración de
los individuos como solucionadores activos de problemas que organizan el
conocimiento, el procesamiento de la información perceptiva y conceptual referida a
las amenazas a la salud de manera episódica y autorregulada mediante un sistema de
feedback (Beléndez, Bermejo y García Ayala, 2005). Ese feedback postulado por el
modelo proviene de las consecuencias de las acciones desarrolladas por la persona,
que van a actuar como mediadoras y que pueden producir a su vez modificaciones en
las representaciones mentales de la enfermedad.
En este sentido, el Modelo de Autorregulación propone que las influencias entre
los elementos del modelo se desarrollan en tres fases: El estadío 1 se corresponde
con creación de las representaciones cognitivas y emocionales a través de las cuales
la persona interpreta y da sentido a un estado de salud o enfermedad concreto; el
40
estadío 2 se refiere a los planes de acción y estrategias de afrontamiento que pone en
práctica de acuerdo con sus representaciones, y que incluyen tanto los planes o
intenciones de actuación como las actuaciones propiamente dichas, que son las
acciones dirigidas tanto a la solución de problemas como al manejo de las respuestas
emocionales; y el estadío 3 se relaciona con la evaluación de los resultados de las
acciones llevadas a cabo, que pueden modificar las representaciones iniciales del
paciente y configurar las respuestas de afrontamiento futuras (Godoy-Izquierdo,
López-Chicheri et al., 2007). La interacción entre los distintos estadíos es bidireccional
y va tanto de las creencias a las acciones como de las acciones (resultados) a las
creencias. En conclusión, de acuerdo con el modelo, el proceso de autorregulación
consistiría en tres fases interrelacionadas y recursivas (Leventhal y Diefenbach, 1991).
En la Figura 1 se presenta el proceso de autorregulación que se propone en el
modelo con sus tres fases interrelacionadas y recursivas (representaciones cognitivas,
acciones y evaluación de los resultados de las acciones), de forma que la vía de las
influencias podría ser descendente o ascendente, generando nuevas creencias que
guiarán nuevas acciones de afrontamiento que darán lugar a nuevas consecuencias
que la persona integrará en su modelo de la enfermedad y valorará para sus futuros
intentos de adaptación y manejo de la misma (Leventhal y Diefenbach, 1991;
Diefenbach y Leventhal, 1996).
Figura 1. El Modelo de Autorregulación o de Creencias de Sentido Común.
41
A su vez, estas creencias, aunque consistentes y robustas, son cambiantes y
dinámicas, y se alimentan, enriquecen o actualizan constantemente de información
procedente de diversas fuentes, como los conocimientos y experiencias personales,
tanto directas (p.e., padecer la enfermedad) como indirectas (p.e., tener un familiar
que padece la enfermedad), las informaciones recibidas de otros y sus experiencias
(p.e., familiares, amigos, profesionales, medios de comunicación, campañas de
salud…) y el cuerpo de conocimiento popular y las creencias y normas socio-culturales
(Diefenbach y Leventhal, 1996; Leventhal et al., 1980; Leventhal y Diefenbach, 1991).
3.2. Contenidos de los modelos de enfermedad: Dimensiones de creencias y
reacciones emocionales
Desde los inicios de la investigación acerca de los modelos personales de la salud y la
enfermedad, uno de los objetivos ha sido identificar los contenidos de dichas
estructuras mentales. Por ejemplo, Jenkins (Jenkins y Zyzanski, 1968) señaló la
existencia de 16 categorías de contenidos para organizar dicha información mientras
que para Turk y colaboradores (Turk, Rudy y Salovey, 1986) el objetivo no era otro
que confirmar la existencia de una estructura genérica de los modelos personales de
enfermedad que pudiera ser aplicada a diferentes desórdenes con independencia de
las características sociodemográficas de los individuos, su estado de salud, sus
conocimientos acerca de la enfermedad o el impacto de la misma en sus vidas.
En este sentido, el Modelo de Autorregulación postula que existe cierta tendencia
común en el modo de organizar las creencias acerca de la enfermedad para construir
nuestro modelo personal sobre ella. Así, en relación a los contenidos concretos del
modelo personal de una alteración de la salud, según el SRM, éste incluiría las
creencias y atribuciones que la persona ha construido sobre su naturaleza, severidad,
etiología, síntomas, tratamiento, duración, evolución, pronóstico o consecuencias,
entre otros aspectos. Leventhal et al. (1980, 1984, 1992,1997, 1998, 2001,2003)
propusieron que los modelos personales de enfermedad incluyen, además de estas
representaciones cognitivas, un componente emocional. Las personas hacen de forma
paralela representaciones cognitivas y emocionales de la enfermedad para explicar su
condición y afrontar sus consecuencias, incluidas las de tipo emocional. Para el SRM,
cualquier punto en el proceso de autorregulación se puede asociar a una reacción
emocional (Diefenbach y Leventhal, 1996). De hecho, los autores del modelo
proponen que “tanto si el componente emocional es una parte integral de las
representaciones de enfermedad como si es un componente independiente elicitado
por los aspectos cognitivos de las representaciones, la emoción puede tener una doble
42
función”: Facilitar o dificultar el comportamiento, de forma que son una parte nuclear
del proceso de toma de decisiones (Diefenbach y Leventhal, 1996, p. 30).
La investigación, utilizando una gran variedad de estrategias para evaluar estos
esquemas sobre la enfermedad, sugiere que tanto los pacientes como las personas
sin alteraciones de la salud organizan o agrupan sus creencias sobre la enfermedad
en torno a una serie de temas o componentes centrales o nucleares, que, juntos,
forman la percepción integrada que la persona tiene sobre la enfermedad. En un
primer momento Leventhal y sus colaboradores propusieron la organización de los
modelos personales de enfermedad en torno a cinco dimensiones (identidad,
consecuencias, curso, control/cura y etiología). Sin embargo, como veremos a
continuación al hablar de la medida de las creencias sobre la enfermedad, la
investigación posterior sugirió modificar esa primera propuesta de los autores. De este
modo, finalmente las dimensiones propuestas por el Modelo de Autorregulación serían
las siguientes (Moss-Morris et al., 2002):
Identidad: Creencias sobre qué enfermedad es, su nombre o categoría, en qué
consiste, cuáles son sus síntomas, cómo se relacionan los síntomas entre sí,
cómo se relacionan los síntomas con la “etiqueta” de la enfermedad. Estas
creencias indicarían la percepción de las características en la línea de la
severidad.
Etiología: Creencias sobre las causas biológicas (genéticas, inmunológicas,
virus o bacterias...), causas psicológicas (comportamientos, hábitos y estilos de
vida, factores emocionales como estrés o depresión, características de
personalidad...), causas ambientales (conflictos familiares o laborales, estado
económico, contaminación ambiental, sustancias...) y causas místicas (suerte,
dioses, seres no humanos...) de la enfermedad.
Duración: Creencias sobre la duración percibida de la enfermedad y sus
síntomas (aguda/crónica o permanente, corta/larga duración).
Evolución: Creencias acerca del carácter cíclico o estable de la enfermedad y
sus síntomas.
Consecuencias: Creencias sobre la gravedad de la enfermedad por sus efectos
esperados sobre la mortalidad y morbilidad, secuelas, efectos de la
enfermedad sobre el funcionamiento social, emocional o físico, la salud general
y el bienestar de la persona que la padece.
Control personal: Creencias sobre la posibilidad de controlar o influir
personalmente en la evolución o solución de la enfermedad. Posibilidad de
prevenir la enfermedad o sus características y consecuencias.
43
Control por el tratamiento: Creencias sobre las posibilidades de curación de la
enfermedad, qué tratamientos o intervenciones existen, eficacia de los
tratamientos disponibles.
Coherencia de la enfermedad: Creencias sobre cómo la enfermedad toma
sentido como un todo para la persona. Comprensión acerca de lo que la
enfermedad significa.
Representaciones emocionales: Sentimientos de miedo, ansiedad,
preocupación, etc. asociados a la enfermedad.
Como se puede observar, cada una de estas dimensiones incluye
representaciones sobre un aspecto de la enfermedad, y unidas configuran la visión
(evaluación e interpretación) coherente de la persona sobre la enfermedad y le
permiten dirigir el afrontamiento de la misma. Por otra parte, existe un patrón de
interrelaciones entre estas dimensiones que suele ser confirmado independientemente
de la enfermedad a la que se refieran. Así, creencias más negativas sobre la gravedad
de un trastorno en función de sus consecuencias para la salud o la vida cotidiana se
asocian estrechamente con representaciones de mayor sintomatología y cronicidad y
menor controlabilidad personal o curabilidad, mientras que creencias más fuertes
sobre la controlabilidad de una enfermedad se relacionan con percepciones más
débiles de cronicidad y consecuencias menos serias para la vida del enfermo y de sus
familiares (Hagger y Orbell, 2003; Petrie, Broadbent y Kydd, 2008).
En resumen, las personas construimos representaciones mentales (cognitivas y
emocionales) de la enfermedad que padecemos o podemos padecer con el objetivo de
dotarla de sentido en una visión o interpretación personal de la condición y, a partir de
esta interpretación, manejar lo más apropiadamente el problema, por ejemplo
buscando información o ayuda profesional, adhiriéndonos a los tratamientos
prescritos, modificando nuestros estilos de vida, desarrollando estrategias de ajuste y
autorregulación, tanto conductual como emocional, y/o buscando apoyo social, por
ejemplo. Estas representaciones integradas de la enfermedad tienen una gran
importancia a la hora de definir la experiencia de la enfermedad y sus síntomas y de
determinar la relevancia, organización e interpretación de la información sobre la salud
y la enfermedad y las respuestas ante las mismas, como la búsqueda de ayuda
profesional, las conductas de enfermedad, la relación que se establece con el
terapeuta o el seguimiento de los tratamientos.
44
3.3. Las creencias de enfermedades físicas y mentales: Aplicaciones del
SRM
El SRM fue propuesto originalmente -y aplicado fundamentalmente desde entonces-
para la enfermedad física (principalmente crónica), siendo actualmente una importante
área de investigación en Psicología de la Salud y Medicina Conductual en relación con
la influencia de factores psicosociales en la salud física. Aunque sus autores señalaron
desde el comienzo que era aplicable también a salud mental (Leventhal et al., 1992),
esto no se ha hecho hasta más recientemente, aunque en este caso en menor
medida. La Tabla 6 presenta algunas enfermedades para las que se han estudiado las
creencias de enfermedad y confirmado la aplicabilidad de los postulados del SRM.
Para una revisión, ver Godoy-Izquierdo, López-Chicheri et al. (2007), Hagger y Orbell
(2003), Kaptein et al. (2003), Lobban et al. (2003), Petrie y Weinman (1997) y Petrie et
al. (2008).
Esta investigación ha encontrado que la estructura propuesta por el SRM se
confirma para distintas enfermedades físicas y que lo que cambia es el contenido
concreto de las creencias para cada enfermedad y, así, su impacto en la conducta y
en las consecuencias de la enfermedad. En el caso de las alteraciones mentales,
diversos estudios han confirmado que la estructura dimensional propuesta por el SRM
para las representaciones de la enfermedad física es aplicable también a aquéllas, en
relación tanto con la complejidad de los modelos (dimensiones y naturaleza) como con
sus contenidos (creencias concretas), y ello tanto en pacientes como en familiares de
pacientes (Fortune, Smith y Garvey, 2004; Lobban, Barrowclough y Jones, 2005). Por
otra parte, Leventhal y Nerenz (1985) sugirieron que la importancia de los diferentes
aspectos de las representaciones podría variar dependiendo de la enfermedad
concreta, y ello también se ha confirmado en la investigación siguiente.
45
Tabla 6. Algunos ejemplos de aplicaciones del SRM a enfermedades físicas y mentales.
Enfermedad Publicaciones
Enfermedades
cardiovasculares e
hipertensión
Affleck et al. (1987); Bazán et al. (2013); Beléndez et al. (2005); Chen, Tsai y Chou (2011); Chen, Tsai y Lee
(2009); Cherrington et al. (2002); Cooper et al. (1999); Cooper et al. (2007); Figueiras y Alves (2007);
Figueiras y Weinman (2003); Godoy-Izquierdo et al. (2007); Heckler et al. (2008); Hirani et al. (2005); Hsiao et
al. (2012); Lau-Walker (2007); Lopes et al. (2010); McClenahan y Weinman (1998); Meyer et al. (1985);
Norfazilah et al. (2013); Petrie et al. (1996); Petrie et al. (2002); Pickett et al. (2014); Rajpura y Nayak (2014);
Ross et al. (2004); Weinman et al. (2000)
Diabetes Awasthi (2011); Barnes et al. (2004); Edgar y Skinner (2003); Griva et al. (2000); Hampson et al. (1990);
Lawson et al. (2004); Searle et al. (2007); Skinner et al. (2002); Skinner et al. (2003); Turk et al. (1986)
Cáncer
Anagnostopoulos y Spanea (2005); Buick y Petrie (2002); Cameron (2008); Cameron et al. (2005); Constanzo,
et al. (2010); De Castro et al. (2013); De Castro et al. (2015); Dempster et al. (2010); Dempster et al. (2011);
Figueiras y Alves (2007); Gercovich et al. (2012); Giannousi et al. (2009); Godoy-Izquierdo et al. (2007); Gould
et al. (2010); Henselmans et al. (2009); Hevey et al. (2009); Hoogerwerf et al. (2012); Hopman y Rijken
(2015); Letho (2007); Juth et al. (2015); Lancastle et al. (2011); Llewelyn et al. (2006); Llewelyn et al. (2007);
Malcarne et al. (1995); Millar et al. (2005); Orbell et al. (2008); Rees et al. (2004); Scharloo et al. (2005);
Traeger et al. (2009); Trask et al. (2008); Van Oostrom, et al. (2007a,b,c); Wang et al. (2010)
Artritis y enfermedades
reumatoides
Hampson et al. (1994); Murphy et al. (1999); Orbell et al. (1998); Pim y Weinman (1998); Scharloo et al.
(1998); Sharpe et al. (2001); Ziarko et al. (2014)
Esclerosis múltiple Jopson y Moss-Morris (2003); Vaughan et al. (2003)
Fibromialgia Dijkstra et al. (2001)
Enfermedad de Addison Heijmans (1999); Heijmans y de Ridder (1999)
46
Síndrome de fatiga
crónica
Chalder et al. (1996); Edwards et al. (2001); Heijmans (1998); Heijmans y de Ridder (1999); Moss-Morris
(1997); Moss-Morris (2005); Moss-Morris et al. (1996); Moss-Morris y Chalder (2003); Moss-Morris y Petrie
(2001)
Dolor crónico Glattacker et al. (2013); Hobro et al. (2004); Nicklas et al. (2010)
Gastroenteritis Parry et al. (2003)
Síndrome del intestino
irritable
Holt et al. (2002); Rutter (2001); Rutter et al. (2002); Rutter y Rutter (2002)
Asma Horne y Weinman (1999); Josep y Rutter (2003); Molloy et al. (2009)
Enfermedad obstructiva
pulmonar crónica
Scharloo et al. (1998); Scharloo et al. (2000)
Psoriasis Fortune et al. (2000); Fortune et al. (2002); Richards et al. (2004); Scharloo et al. (1998); Scharloo et al.
(2000)
Epilepsia Kemp et al. (1999)
Hemofilia Llewelyn et al. (2003)
Resfriado común y gripe Godoy-Izquierdo et al. (2007); Glattacker et al. (2012); Lau et al. (1989)
Depresión Fortune et al. (2004); Lauber et al. (2003); Moss-Morris y Petrie (2001)
Esquizofrenia Barrowclough et al. (2001); Lobban et al. (2005); Talley (1999)
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3.4. Evidencias empíricas sobre la relación entre las creencias de enfermedad,
las acciones de manejo de la enfermedad y las consecuencias de la enfermedad
La relación propuesta por el SRM entre creencias más ajustadas y positivas de la
enfermedad y estrategias de afrontamiento más adaptativas y eficaces (p.e.,
adherencia a los tratamientos) ha sido apoyada en diversos estudios, así como la
asociación entre estrategias de afrontamiento adaptativas y eficaces y consecuencias
más positivas de la enfermedad, como el nivel de salud, el bienestar emocional, la
capacidad funcional, el funcionamiento cotidiano y social, el desempeño de roles
vitales o la calidad de vida.
Distintos estudios han mostrado la existencia de relaciones concretas entre las
estrategias de afrontamiento y determinadas creencias de enfermedad. Así, por
ejemplo, se ha hallado una asociación entre la utilización de estrategias de
afrontamiento activo, tanto centrado en el problema como dirigido a las consecuencias
emocionales de la enfermedad, la reevaluación cognitiva y la búsqueda de apoyo
social y las dimensiones de elevada controlabilidad y percepción de curación, baja
identidad y sintomatología, no cronicidad y pocas o no graves consecuencias (Awasthi
y Mishra, 2011; Croyle y Ditto, 1990; Griva, Myers y Newman, 2000; Hampson,
Glasgow y Zeiss, 1994; Heijmans, 1998; Heijmans y de Ridder, 1998, 1999; Hopman y
Rijken, 2015; Kemp, Morley y Anderson, 1999; Moss-Morris, Petrie y Weinman, 1996;
Orbell et al., 1998; Porrit, Sufi, Barlow y Baker, 2014; Scharlooo el al., 1998; Schiaffino,
Shawaryn y Blum, 1998; Wichowski y Kubsch, 1997). Del mismo modo, se ha
encontrado una asociación positiva entre las creencias contrarias a las anteriores con
estrategias de negación y evitación, no afrontamiento y expresión emocional
incontrolada (Godoy-izquierdo, Fajardo et al., 2007; Heijmans, 1998; Hopman y Rijken,
2015; Horowitz, Stephanie y Leventhal, 2004; Kemp et al., 1999; Knowles et al., 2014;
Moss-Morris et al., 1996; Moss-Morris, 2005; Scharloo et al., 1998; Ziarko et al., 2014).
En un meta-análisis, Hagger y Orbell (2003) confirman las relaciones hipotetizadas por
el modelo revisando estudios realizados con diversas alteraciones de la salud física,
aunque también señalan, de acuerdo con los resultados obtenidos, que otras variables
pueden estar ejerciendo un papel importante.
Hagger y Orbell (2003) en su meta-análisis también mostraron que, de acuerdo
con lo propuesto por el Modelo de Autorregulación, las representaciones de
enfermedad no sólo se relacionaban con las estrategias de afrontamiento puestas en
marcha sino que también ejercen una influencia en las consecuencias de la
enfermedad para el paciente, probablemente a través del papel mediador ejercido por
los procesos de afrontamiento. En este sentido, consecuencias/resultados más
48
adaptativos de la enfermedad en términos de funcionamiento físico, personal y laboral
así como de bienestar psicológico y vitalidad se asociaban con una menor percepción
de consecuencias y unos niveles de identidad más débiles, lo que vendría a destacar
la importancia de las representaciones de identidad y consecuencias en el bienestar y
la calidad de vida de las personas enfermas. Yendo aún más lejos, diversos estudios
recogidos en este meta-análisis subrayan la estrecha relación entre consecuencias
más positivas de la enfermedad y las percepciones de controlabilidad expresadas por
los participantes.
En este sentido, distintos estudios realizados con posterioridad a este meta-
análisis ya clásico de Hagger y Orbell han tratado de confirmar en diferentes
enfermedades esta influencia propuesta por el SRM de las representaciones de
enfermedad en las consecuencias de la misma a nivel físico y mental, en el proceso de
recuperación así como en definitiva en el bienestar y calidad de vida de los pacientes
(Frostholm et al., 2007; Glattacker et al., 2012, 2013; Knowles et al., 2014; Llewelyn,
McGurk y Weinman, 2006, 2007; Millar et al., 2005; Porrit et al., 2014; Rozema et al.,
2014; Scharloo et al., 2005; Vaughan, Morrison y Miller, 2003; Ziarko et al., 2014).
Por tanto, los resultados obtenidos en estos estudios han puesto de manifiesto en
diferentes enfermedades tanto físicas como mentales la influencia que las creencias
de enfermedad en las consecuencias de la misma a través del papel mediador que
ejercen las estrategias de afrontamiento y manejo puestas en marcha por el individuo
para prevenir la enfermedad en el caso de que esté sano o para recuperar la salud, el
bienestar y la calidad de vida en el caso de que esté enfermo.
Cuando hablamos de afrontamiento de la enfermedad, una cuestión clave es la
adherencia a las recomendaciones médicas y a los tratamientos prescritos (Hager y
Orbell, 2003). En este sentido, si tal y como propone el SRM, las representaciones de
enfermedad tienen una influencia en las estrategias de afrontamiento elicitadas por los
pacientes y si la adherencia se considera una estrategia de afrontamiento, lógicamente
ésta estaría también determinada por el modo en que percibimos y representamos
cognitiva y emocionalmente la enfermedad.
La adherencia a los tratamientos farmacológicos y a las recomendaciones
médicas son aspectos fundamentales en cualquier enfermedad, pero son aún más
relevantes cuando hablamos de enfermedades crónicas, como la hipertensión o
enfermedades de larga duración como suele ser el cáncer, ya que este tipo de
enfermedades habitualmente requieren, para conseguir resultados satisfactorios,
tratamientos a largo plazo y con efectos secundarios importantes, lo que a menudo
dificulta una correcta adherencia. Además, la hipertensión es una enfermedad
49
asintomática por lo menos hasta fases muy avanzadas, y este hecho hace aún más
difícil que los pacientes se adhieran correctamente a los tratamientos.
En este sentido, con el objetivo de explorar el impacto de las representaciones de
enfermedad, de acuerdo con la propuesta del SRM, en la adherencia farmacológica
Kucukarslan (2012) llevó a cabo una revisión de la investigación al respecto. La autora
encontró que las diferentes dimensiones que conforman los modelos de enfermedad,
excepto la dimensión de coherencia, influían bien de forma directa o indirecta en la
adherencia a la medicación prescrita. Los resultados también pusieron de manifiesto
que la edad, la enfermedad o condición médica concreta o la cultura podrían influir en
el impacto de las representaciones de enfermedad en la respuesta de los pacientes a
los tratamientos propuestos. Las enfermedades que incluían los estudios revisados
fueron asma, hipertensión, diabetes, insuficiencia cardíaca, glaucoma, dolor crónico y
tuberculosis.
De acuerdo con esta revisión, creencias más fuertes de identidad se asocian con
una mayor adherencia a los tratamientos farmacológicos (Chen et al., 2011; Jessop y
Rutter, 2003; Woith y Larson, 2008) aunque también se halló ausencia de dicha
influencia en otros casos (Horne y Weinman, 2002). En relación a la dimensión de
duración, el impacto de la duración percibida de la enfermedad en la adherencia a los
fármacos prescritos poseía un carácter indirecto en lugar de directo y estaba mediado
por las percepciones de necesidad del tratamiento (Ross, Walker y Mac-Leod, 2004).
En cuanto a la relación entre la percepción de consecuencias de la enfermedad para la
vida de los pacientes y la adherencia a la medicación, los resultados son inconclusos y
varían a lo largo de los diferentes estudios. Algunos de ellos apoyan que
consecuencias más graves percibidas llevan a una mejor adherencia farmacológica
(Ross et al., 2004), otros encuentran que creencias más fuertes sobre consecuencias
llevan a una peor adherencia (Horne y Weinman, 2002; Molloy et al., 2009) pero otros
no han hallado ninguna influencia (Chen et al., 2011; Jessop y Rutter, 2003; Zugelj et
al., 2010). También se ha observado una influencia indirecta entre percepción de
consecuencias de la enfermedad y adherencia, de modo que percibir consecuencias
más severas de su enfermedad se relaciona con una mayor preocupación y
percepción de necesidad de tratamiento, lo que lleva a una mejor adherencia (Nicklas,
Dunbar y Wild, 2010).
En relación a las dimensiones de control personal y control por tratamiento,
creencias más fuertes de control por tratamiento (Chen et al., 2011; Ross et al., 2004;
Searle et al., 2007; Zugelj et al., 2010) se relacionaban con una mayor adherencia,
mientras que Chen et al. (2011) encontraron una relación positiva y directa entre
creencias sobre control personal y adherencia a los tratamientos farmacológicos.
50
Respecto a la dimensión de curso o evolución, Chen et al. (2009) observaron la
existencia de una relación directa y negativa entre la percepción de la enfermedad
como cíclica y cambiante y la adherencia a la medicación prescrita. Con respecto a las
representaciones emocionales, diversos estudios han hallado una relación negativa
con la adherencia farmacológica; así, sentimientos más fuertes de temor,
preocupación o tristeza ante una enfermedad se asociaban con una adherencia más
pobre (Ross et al., 2004; Zugelj et al., 2010), aunque otros estudios no han hallado
relación (Chen et al., 2011).
Finalmente, la dimensión de causas también se ha relacionado de manera directa
con la adherencia farmacológica. Por ejemplo, Chen et al. (2009) encontraron que
puntuaciones más altas en dicha dimensión se relacionaban con una peor adherencia
al tratamiento, mientras que Jessop y Rutter (2003) hallaron que los pacientes que
percibían que su enfermedad estaba causada por factores incontrolables y externos
mostraban peor adherencia farmacológica.
Por otro lado, la adherencia no se puede considerar únicamente como la toma de
la medicación prescrita por el médico en la forma en que este lo indicó, sino que
especialmente en enfermedades crónicas o de larga duración se refiere también a
realizar determinados cambios a nivel comportamental y en el estilo de vida. En el
caso de la hipertensión, esto es especialmente cierto ya que los tratamientos suelen
incluir en la mayoría de los casos realizar cambios en la dieta, la actividad física o la
autorregulación emocional. En este sentido, la investigación dirigida a conocer la
influencia que las representaciones de enfermedad tienen sobre los cambios a nivel
comportamental es menor que la dirigida a valorar el papel de éstas en la adherencia
farmacológica. Aún así, diferentes estudios han tratado de explorar esa relación
mostrando la influencia de las representaciones de enfermedad en la adherencia a
cambios comportamentales, asistencia a citas médicas y tratamientos diferentes a la
toma de medicación como, por ejemplo, la asistencia a programas de rehabilitación
(Barnes, Moss-Morris y Kaufusi, 2004; Cameron et al., 2005; Cooper, Weinman,
Hankins, Jackson y Horne, 2007; Heckler et al., 2008; Horowitch, Rain y Leventhal,
2004; Meyer, Leventhal y Guttman, 1985; Orbell, Hagger, Brown y Tidy, 2006; Pickett
et al., 2014; Stafford, Jackson y Berk, 2008).
Si dirigimos nuestra atención hacía la población que aún no padece ni ha
padecido una determinada enfermedad o alteración de la salud, una cuestión clave en
el afrontamiento de los riesgos para la salud es el desarrollo de actuaciones de
prevención (Cameron y Moss-Morris, 2004; Cameron y Leventhal, 2003; Leventhal et
al., 1980, 1998, 2003, 2011). En este sentido, el SRM postula que en el caso de los no
pacientes, sus representaciones tanto cognitivas como emocionales sobre una
51
determinada enfermedad van a jugar un papel clave en los esfuerzos por prevenir su
aparición. En este sentido, se espera que la población sana evite riesgos, busque
información o ayuda médica, se someta a exámenes o pruebas médicas o adopte
nuevos comportamientos de carácter saludable si perciben una enfermedad como
prevenible a través de sus propios esfuerzos (Sullivan et al., 2010). Sin embargo, la
investigación existente sobre representaciones de enfermedad, de acuerdo con el
SRM, y desarrollo de conductas preventivas es escasa y realizada sobre todo con
pacientes y poblaciones en riesgo. Aún así, los diferentes estudios que se han
desarrollado apoyan este postulado básico del SRM, mostrando que tanto las
representaciones cognitivas como emocionales ejercen un papel clave en el modo en
que la población sana, así como la población en riesgo o enferma, actúa para prevenir
la enfermedad (Ali, Shonk y Saleh El Shayed, 2013; Andersson, Sjöberg, Öhrvik y
Leppert, 2009; Cameron, 2008; Chang et al., 2011; Chauan et al., 2007; Claassen,
Henneman, Kindt, Marteau y Tinmermans, 2010; Claassen, Henneman, Van der
Weijden, Marteau y Tinmermans, 2012; Collins, Dantico, Shearer y Mossman, 2002,
2004; Constanzo, Lutgendorg y Roeder, 2010; Figueiras y Alves, 2007; Honda,
Goodwin y Neugut, 2005; Lee, Cameron, Wunsche y Stevens, 2011; McFall,
Nonneman, Rogers y Mukerji, 2009; Murray, Murphy, Clements, Brown y Connelly,
2013; Orbell et al., 2006, 2008; Raude y Setbon, 2005; Sabzmakan et al., 2014;
Sullivan et al., 2010; Trask, Pahl y Begeman, 2008; Van Oostrom et al., 2007a, 2007b,
2007c).
Distintos estudios han encontrado que representaciones emocionales más fuertes
(Cameron, 2008; Figueiras y Alves, 2007; Honda et al., 2005; Orbell et al., 2008), una
mayor percepción de consecuencias y síntomas (Cameron, 2008; Weinstein, 2000), un
mayor sentido de coherencia (Figueiras y Alves, 2007), la atribución de la enfermedad
a causas controlables y especialmente relacionadas con el propio comportamiento
(Boudreaux et al., 2010) y mayores percepciones de controlabilidad (Figueiras y Alves,
2007; Sullivan et al., 2010) se asocian con la intención y el desarrollo de conductas de
carácter preventivo tanto en población sana como en pacientes y poblaciones de
riesgo.
En el caso concreto de las enfermedades objeto de estudio en esta Tesis
Doctoral, cáncer e hipertensión, y de acuerdo con lo establecido en los capítulos 1 y 2
de esta Introducción, las posibilidades actuales de prevenir su aparición y desarrollo a
través de actuaciones de carácter comportamental y cambios en el estilo de vida son
muy elevadas.
En cuanto al cáncer, un aspecto clave de esta enfermedad sería el elevado
impacto emocional que ésta genera, aspecto en el que se diferencia sustancialmente
52
de la hipertensión. Diferentes estudios sobre esta cuestión han puesto de manifiesto
que el cáncer es una enfermedad que genera un elevado malestar emocional en la
población sana (De Castro, Peuker, Laurenz y Figuerias, 2015; Figueiras y Alves,
2007; Orbell et al., 2008) y que ese malestar emocional es similar al que experimenta
la población en riesgo (De Castro et al., 2015; Hevey et al., 2009; Lancastle, Brian y
Phelps, 2011; Van Oostrom et al., 2007c) y mayor al que manifiestan los pacientes que
sufren la enfermedad (Cameron, 2005; Hoogerwert, Ninaber, Willens y Kaptein, 2012;
Hopman y Rikjen, 2015; Trask et al., 2008), lo que podría estar relacionado con el
proceso de adaptación a la situación y con un afrontamiento centrado en la curación
del cáncer. En cualquier caso, el malestar emocional ha sido propuesto como un factor
que potencia el desarrollo de comportamientos preventivos (Leventhal et al., 2011), de
modo que las representaciones emocionales negativas entendidas como sentimientos
más fuertes de preocupación, ansiedad, tristeza o miedo en relación con la
enfermedad han sido consideradas como aspectos que podrían favorecer la puesta en
marcha de actuaciones de prevención para afrontar los riesgos que supondría contraer
una enfermedad (Leventhal et al., 2003). En este sentido, a pesar de que los
resultados de los estudios acerca del papel del malestar emocional en la prevención
del cáncer son inconclusos, éstos parecen apoyar la idea de que determinado nivel de
malestar contribuye al desarrollo de comportamientos preventivos en personas sanas
(Cameron, 2008; Figueiras y Alves, 2007; Honda et al., 2005). Sin embargo esta
relación entre representaciones emocionales y conductas de afrontamiento, incluidos
los esfuerzos de carácter preventivo, parece no poseer un carácter directo sino que
representaciones de carácter cognitivo como las percepciones de severidad y
vulnerabilidad y las atribuciones causales interactuarían con las representaciones de
carácter emocional para influir en las conductas de afrontamiento (Decruyenaere et al.,
2000). En cuanto a las percepciones sobre la controlabilidad, Decruyenaere y
colaboradores señalan que a mayor confianza en las posibilidades de control el
desarrollo de actuaciones preventivas será también mayor.
Si dirigimos nuestra atención hacia la hipertensión, es necesario destacar que
diferentes estudios realizados con población sana (Aroian, Rosalind, Rudner y Waser,
2012; Gopinath et al., 2014; Newell, Modeste, Marshall y Wilson, 2009; Peters, Aroian
y Flack, 2006; Savoca et al., 2009) han puesto de manifiesto cómo poseer
representaciones moderadamente ajustadas acerca de lo que la enfermedad significa
y de los riesgos asociados a la misma, de las posibilidades de prevención y de cómo
actuar para evitar su aparición no se traducen en la puesta en práctica de conductas
preventivas relacionadas con la introducción de modificaciones en determinados
hábitos de vida. Este hecho se ha relacionado en dichos estudios con diferentes
53
factores como la dificultad percibida para realizar los cambios necesarios, la falta de
recursos, una escasa autoeficacia percibida o aspectos sociales o culturales (Aroian et
al., 2012; Gopinath et al., 2014; Newell et al., 2009; Peters et al., 2006; Savoca et al.,
2009). Sin embargo es necesario destacar que estos estudios con población que aún
no padece la enfermedad se han llevado a cabo con muestras limitadas en cuanto a
sus características y minorías étnicas y no han utilizado los instrumentos de
evaluación de las representaciones cognitivas y emocionales de enfermedad
derivados del SRM. Este problema de falta de coherencia entre las representaciones y
las conductas de afrontamiento de riesgos en el caso de la hipertensión hace aún más
complejo todo el proceso de prevención primaria de la enfermedad y requeriría de un
estudio en profundidad de los factores que influyen en dicha cuestión desde la
perspectiva del SRM y utilizando los instrumentos de evaluación propios de dicho
modelo, aspecto sobre el que trataremos de arrojar luz en los estudios 4 y 5 de esta
Tesis Doctoral.
En definitiva, estos estudios avalan la relación propuesta por el SRM entre
representaciones de enfermedad y aspectos comportamentales, de afrontamiento o
prevención de la enfermedad y, a través del papel mediador de estos, entre
representaciones de la enfermedad y consecuencias de la misma a nivel físico,
emocional o de calidad de vida. Sin embargo, como ya hemos señalado, en su
mayoría han sido realizados con pacientes o poblaciones de riesgo, por lo que sería
recomendable tratar de comprobar la relación predicha por el SRM entre esas
variables con poblaciones que no han sufrido ni sufren una determinada enfermedad.
3.5. La influencia de otras variables en las creencias de enfermedad: El papel de
las variables sociodemográficas y la experiencia directa o indirecta con la
enfermedad
En cuanto a la posible influencia de variables de carácter sociodemográfico tales como
el género, la edad o el nivel educativo en los modelos personales de enfermedad, en
general los estudios encuentran alguna, aunque limitada, influencia (e.g.,
Anagnostopoulos y Spanea, 2005; Dunkel et al., 2011; Godoy-Izquierdo et al., 2007;
Heijmans y De Ridder, 1998; Lau-Walker, 2004; Lauber, Falcato, Nordt y Rossler,
2003; Lehto, 2007; Sterba y DeVellis, 2009; Wang, Miller, Egleston, Hay y
Weinberg,2010).
Sin embargo, haber sufrido la enfermedad (experiencia directa) o tener un familiar
enfermo o haber convivido con alguien afectado (experiencia indirecta o familiar) ha
sido considerado de forma consistente como un factor que ejerce una contribución
54
relevante a las representaciones de enfermedad (Anagnostopoulos y Spanea, 2005;
Buick y Petrie, 2002; Dempster et al., 2001b; Figueiras y Weinman, 2003; Furnham y
Chan, 2004; Godoy-Izquierdo, López-Chicheri et al., 2007; Heijmans y De Ridder,
1998; Heijmans et al., 1999; Juth et al., 2015; Lau-Walker, 2004; Lobban,
Barrowclough y Jones, 2003; Lykins et al., 2008; Moss-Morris y Chalder, 2003; Moss-
Morris y Petrie, 2001; Norfazilah et al., 2013; Orbell et al., 2008; Picket et al., 2014;
Weinman et al., 2000, 2003).
3.6. Aplicaciones clínicas del SRM y las creencias de enfermedad
Es fundamental resaltar el carácter aplicado del estudio de las creencias de
enfermedad, ya que el conocimiento de los modelos personales no especializados que
las personas construimos acerca de la salud y la enfermedad en general y de cada
alteración en particular va a ayudar al profesional de la salud en el diseño e
implementación de estrategias efectivas de intervención, como por ejemplo promoción
de la salud, prevención de enfermedades, educación a los pacientes, mejora de la
adherencia al tratamiento, asesoramiento familiar, etc. (Godoy-Izquierdo, Fajardo et
al., 2007). En este sentido, dicho conocimiento acerca de los modelos personales que
construimos tanto las personas sanas como enfermas va a permitir explicar o modificar
el comportamiento de los pacientes frente a su enfermedad, sus respuestas
emocionales o de afrontamiento de la misma, su adaptación a su situación, sus
actuaciones de automanejo, las consecuencias de la enfermedad en sus vidas y en la
de las personas cercanas a ellos, su recuperación de ella y, finalmente, influir en su
bienestar y su calidad de vida. Del mismo modo, dicho conocimiento va a ayudarnos a
intervenir de forma adecuada en todo el proceso de tratamiento así como la relación
entre paciente y especialista de la salud y va a ayudar a los profesionales a diseñar e
implementar actuaciones más eficaces en función de estas representaciones
personales (Moss-Morris et al., 2002; Sensky, 1997). Además, podría llevar a mejorar
el proceso de educación al paciente y la adherencia a los tratamientos, así como la
satisfacción de los pacientes, ayudando todo ello al control o recuperación de la
enfermedad (Wilson et al., 2002) y a la prevención de posibles complicaciones,
recaídas o alteraciones futuras de salud.
Todo ello va a adquirir especial relevancia en el caso de los propios profesionales
de la salud, dado que puede existir una enorme distancia entre las creencias sobre la
enfermedad de sus pacientes y las consideraciones médicas y el conocimiento
especializado (Godoy-izquierdo, Fajardo et al., 2007). Por ejemplo, la severidad de
una enfermedad para una persona diagnosticada de la misma puede ser muy diferente
55
de la que cabría esperar a partir de los resultados clínicos o del pronóstico de la
misma (Sensky, 1990). Y lo mismo puede decirse respecto a sus causas, evolución,
pronóstico. El conocimiento de las creencias personales del paciente y el Modelo de
Autorregulación de Leventhal son, además compatibles con el papel activo y
colaborador por parte del paciente (Godoy-Izquierdo, Fajardo et al., 2007; Petrie y
Weinman, 1997).
Por otro lado, no podemos olvidar que un objetivo central de la investigación en el
campo de la Psicología de la Salud es conocer y comprender los factores que influyen
en el comportamiento de las personas sanas en relación con la salud y la enfermedad
para poder diseñar estrategias adecuadas de intervención en base a dicho
conocimiento. De acuerdo con dicho objetivo, conocer los modelos personales de
salud y enfermedad de la población sana adquiere una relevancia capital si se desea
incrementar la eficacia de las actuaciones en promoción de la salud y prevención de la
enfermedad, y no únicamente centrar los esfuerzos en el tratamiento y la rehabilitación
de la enfermedad, aunque sin olvidarlos.
3.7. La medida de los Modelos Personales de Enfermedad: El Cuestionario de
Percepción de Enfermedad (IPQ), el Cuestionario de Percepción de Enfermedad
Revisado (IPQ-R) y el Cuestionario Breve de Percepción de Enfermedad (B-IPQ)
El estudio de las creencias que las personas poseen sobre la enfermedad y la
salud ha sido abordado desde múltiples perspectivas metodológicas. En su trabajo
original, Leventhal y sus colaboradores utilizaron entrevistas de carácter
semiestructurado centradas en las experiencias de los pacientes con una enfermedad
concreta con el objetivo de conocer sus representaciones sobre ese trastorno. Aunque
dicha aproximación permitía conocer el modelo que los pacientes poseían sobre una
enfermedad, también presentaba distintos inconvenientes derivados de la metodología
utilizada como, por ejemplo, la excesiva duración de la evaluación, las variaciones en
la cantidad y la calidad de las respuestas dadas, la ausencia de estudios psicométricos
o las enormes dificultades para conseguir una muestra con un tamaño adecuado para
realizar investigación cuantitativa. En contraste con esto, la utilización de cuestionarios
permitiría conocer las representaciones acerca de la enfermedad superando los
inconvenientes anteriores.
En este sentido, con el objetivo de superar las limitaciones que poseían otras
formas de evaluación, a lo largo del tiempo se han diseñado distintos cuestionarios
destinados a evaluar las representaciones personales de enfermedad. Sin embargo,
estos instrumentos presentaban fundamentalmente el problema de que generalmente
56
no poseían una buena base teórica o no habían sido probados con más de un tipo de
pacientes (Weinman, Petrie, Moss-Morris y Horne, 1996). Debido a ello, en 1996
Weinman y colaboradores desarrollaron el Cuestionario de Percepción de Enfermedad
(IPQ), dirigido a evaluar las representaciones cognitivas de enfermedad. Este
instrumento, basado en el modelo de Leventhal y colaboradores, presenta cinco
subescalas que proporcionan información acerca de los cinco componentes
fundamentales que forman parte de los modelos personales de enfermedad
identificados en la investigación al respecto que ha tratado desde el principio de
identificar el contenido de dichas estructuras mentales. El IPQ consta en total de 60
ítems.
La dimensión de identidad es evaluada a través de un listado de quince síntomas,
de modo que los participantes deben responder si han experimentando esos síntomas
y la frecuencia con la que los han experimentado. Los ítems de las dimensiones de
curso, consecuencias y control/cura se presentan en forma de afirmación y el formato
de respuesta consiste en una escala tipo Likert con cinco opciones de respuesta que
van desde fuertemente en desacuerdo a fuertemente de acuerdo. Por otro lado, la
dimensión de causas es evaluada a través de un listado de dieciséis posibles factores
que podrían originar la enfermedad y los participantes deben responder de acuerdo
con una escala tipo Likert que, al igual que en el caso anterior, abarcaría desde
fuertemente en desacuerdo a fuertemente de acuerdo. Los ítems son puntuados de
uno a cinco, habiendo ítems tanto de carácter directo como inverso en las dimensiones
de curso, consecuencias y control.
El IPQ permite obtener puntuaciones parciales en cada subescala así como una
puntuación total. Puntuaciones más altas en las diferentes subescalas indican
creencias más fuertes sobre las características evaluadas, mientras que una
puntuación total en el IPQ más alta señala una percepción más negativa de la
enfermedad. Además de acuerdo con los propios autores, el IPQ permite que le sean
añadidos nuevos ítems dirigidos a grupos concretos de pacientes o a determinados
problemas de salud (Weinman et al., 1996). La consistencia interna del IPQ y la
fiabilidad test-retest son adecuadas (Weinman et al., 1996).
Como ya se ha comentado, existe abundante evidencia acerca de las relaciones
estructurales entre los cinco componentes de las representaciones de enfermedad
descritos por Leventhal e incluidos en el IPQ (Godoy-Izquierdo, Fajardo et al., 2007;
Godoy-Izquierdo, López-Chicheri et al., 2007; Leventhal et al., 1984, 1997; Weinman
et al., 1996), así como acerca de las relaciones esperadas entre las percepciones de
enfermedad y conductas de afrontamiento concretas como la adherencia a las
recomendaciones médicas (e.g., Barnes et al., 2004; Cameron et al., 2005; Chen et
57
al., 2009; 2011; Cooper et al., 2007; Heckler et al., 2008; Jessop y Router, 2003;
Leventhal, 2004; Meyer et al.,1985; Molloy et al., 2009; Orbell et al., 2006; Pickett et
al., 2014; Ross et al., 2004; Stafford et al., 2008; Weinman et al., 2000; Zujelj et al.,
2010), así como con un amplio rango de consecuencias de la misma, como la
adaptación funcional del paciente (Heijmans, 1998; Heijmans, de Ridder y Bensing,
1999; Moss-Morris, 1997; Petrie et al., 1996; Scharloo et al., 1998).
Sin embargo, aunque este instrumento ha sido utilizado con éxito en la predicción
de diferentes aspectos relacionados con la adaptación y recuperación en distintas
enfermedades, el feedback proporcionado por la experiencia acumulada por los
investigadores utilizando el IPQ parecía señalar la necesidad de revisar el instrumento
para mejorar las propiedades de la medida y modificar algunas subescalas (Weinman
et al., 1996). Particularmente dos de las subescalas del IPQ, control y curso,
presentaban algunos problemas con respecto a su consistencia interna (Weinman et
al., 1996). Con respecto a la subescala de control, los análisis parecían apuntar la
necesidad de dividirla en dos escalas diferentes, una relacionada con el control
personal y las creencias de autoeficacia y la otra referida al control a través del
tratamiento o intervenciones terapéuticas disponibles. En relación a la subescala de
curso, los hallazgos señalaban la necesidad tanto de incrementar el número de ítems
como de incluir algunos ítems nuevos que evaluaran las creencias acerca de la
ciclicidad o estabilidad del trastorno, y no sólo su duración corta (enfermedad aguda) o
larga/permanente (enfermedad crónica).
Otro componente fundamental del modelo de Leventhal, como son las
representaciones emocionales, había sido olvidado en la elaboración del IPQ. Éste
originalmente había sido diseñado para evaluar los componentes cognitivos de las
representaciones de los pacientes, lo que supone una limitación en su capacidad para
describir las respuestas de los pacientes ante la enfermedad (Weinman et al., 1996).
Un último problema asociado al IPQ es que no permitía evaluar un aspecto que puede
ser importante, como es el grado en el que la representación de la enfermedad que el
paciente posee le va a proporcionar una comprensión coherente de la misma, lo que
sería de algún modo un tipo de metacognición acerca de la coherencia de la
representación de la enfermedad que el paciente posee.
Debido a estas limitaciones del IPQ sus autores desarrollaron algunos años
después la versión revisada del mismo, el IPQ-R (Moss-Morris et al., 2002), en la que
incluyeron las siguientes modificaciones:
1. La subescala de identidad fue modificada con el objetivo de separar el
concepto mismo de identidad de la enfermedad de los procesos de
somatización. Así, en lugar de medir la frecuencia percibida de cada síntoma, los
58
pacientes tienen que identificar, por un lado, los síntomas que experimentan y,
por otro, indicar cuáles de esos síntomas creen que están específicamente
asociados a su enfermedad.
2. La subescala de causas fue ampliada con un mayor número de ítems,
incluyéndose factores psicológicos (conductas, rasgos de personalidad, estado
emocional, etc.), factores biológicos (genéticos, infecciosos, inmunitarios,
lesiones, edad, etc.), factores ambientales (contaminación ambiental, problemas,
otras personas, etc.) y factores externos o incontrolables (suerte, herencia).
3. El IPQ-R incluye una subescala que evalúa la coherencia de la enfermedad,
dimensión que ha demostrado ser muy útil para conocer cómo la enfermedad
toma sentido como un todo para el paciente y que juega un importante papel en
el ajuste a la enfermedad y en la respuesta ante los síntomas.
4. El IPQ-R también incorpora una subescala que permite evaluar las
representaciones emocionales, un aspecto fundamental para las conductas de
afrontamiento que el enfermo pone en marcha y las consecuencias de las
mismas.
5. El IPQ-R divide la subescala de control en dos subescalas diferentes, las de
control personal y control por el tratamiento.
6. Por último, en el IPQ-R se ve mejorada la evaluación del curso percibido de la
enfermedad, manteniéndose ítems referidos al curso agudo-crónico de la
enfermedad (subescala de duración) e incluyéndose otros nuevos para la
evaluación de creencias sobre su ciclicidad (subescala de evolución).
En resumen, el IPQ-R evalúa nueve dimensiones relacionadas con la enfermedad
derivadas del modelo de Leventhal SRM. Estas dimensiones son 1) Identidad (14
ítems) (e.g., dolor); 2) Duración (5 ítems) (e.g., Mi enfermedad se pasará
rápidamente); 3) Consecuencias (6 ítems) (e.g., Mi enfermedad tiene grandes
consecuencias en mi vida); 4) Control personal (6 ítems) (e.g., Tengo el poder de
influir en mi enfermedad); 5) Control por el tratamiento (6 ítems) (e.g., Mi tratamiento
será eficaz para curar mi enfermedad); 6) Coherencia de la enfermedad (5 ítems) (e.g.,
Mi enfermedad es un misterio para mí); 7) Evolución (4 ítems) (e.g., Mi enfermedad es
muy impredecible); 8) Representaciones emocionales (6 ítems) (e.g., No me preocupa
mi enfermedad) y 9) Causas (18 ítems) (e.g., herencia). El cuestionario incluye para
las dimensiones de duración, consecuencias, control personal, control por el
tratamiento, coherencia de la enfermedad, evolución y representaciones emocionales
una serie de afirmaciones para las que la persona debe expresar su grado de acuerdo
en una escala tipo Likert de cinco alternativas que van desde “Totalmente de acuerdo”
59
a “Totalmente en desacuerdo”, al igual que en el caso del IPQ. Para evaluar la
dimensión de identidad se presenta al participante una lista de 14 síntomas y se le
pide que responda “Sí” o “No” dependiendo de si piensa que dichos síntomas están
relacionados o no con la enfermedad en cuestión, y, en el caso de haberla padecido,
se le pide también que indique si los ha experimentado o no. En la escala de
causalidad se presenta a la persona un listado de 18 causas y ésta debe indicar su
grado de acuerdo con cada una como posible factor etiológico en una escala tipo
Likert similar a la anterior. Al igual que ocurre con el IPQ, en la subescala de etiología
las causas que puntúan más alto son las consideradas por la persona como los
factores etiológicos más relevantes para dicha enfermedad.
Las puntuaciones de cada subescala o dimensión se obtienen sumando o
promediando, más frecuentemente, las puntuaciones de cada uno de los ítems que
conforman la subescala, teniendo en cuenta que para las dimensiones de duración,
control personal, control por tratamiento, coherencia y representaciones emocionales
hay tanto ítems directos como inversos. En la escala de identidad, las puntuaciones se
obtienen sumando el número de veces que la persona ha contestado “Sí”.
Puntuaciones elevadas en las diferentes subescalas indicarían creencias más fuertes.
En relación a las propiedades psicométricas de este instrumento, diferentes
estudios han mostrado su adecuada consistencia interna y fiabilidad test-retest
(Beléndez et al., 2005; Moss-Morris et al., 2002).
A pesar de las bondades del IPQ-R, en determinados casos su utilización
resultaba inadecuada, principalmente por ser poco operativo por su longitud, por
ejemplo para pacientes muy enfermos, en aquellos casos en que existe un tiempo
limitado para la evaluación o cuando se trata de evaluar a pacientes que tienen
habilidades limitadas de lectura o escritura.
Por ello, se puso de manifiesto la necesidad de poder contar con un instrumento
más breve y, por tanto, más rápido de responder y que de algún modo superara los
problemas asociados al IPQ-R y a la vez permitiera conocer los aspectos
fundamentales de las creencias sobre las enfermedades. Un cuestionario más breve
además ofrecería la ventaja de permitir estudiar las representaciones de enfermedad
en un rango más amplio de pacientes así como en aquellas ocasiones en las que el
estudio de los modelos de enfermedad constituyen sólo una parte del estudio de un
amplio conjunto de aspectos psicosociales, o cuando las medidas se deben tomar de
manera repetida con una determinada frecuencia.
Debido a todo ello, Broadbent, Petrie, Main y Weinman (2006) propusieron un
cuestionario abreviado para evaluar las representaciones de enfermedad de acuerdo
con el Modelo de Autorregulación y basado en el IPQ-R. El Cuestionario Breve de
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Percepción de Enfermedad (Brief-IPQ, B-IPQ) nació, por tanto, con la pretensión de
superar las limitaciones ya comentadas de sus predecesores, el IPQ y el IPQ-R, y de
modificar el formato de respuesta de los cuestionarios anteriores, pasando de un
formato de escala multifactorial tipo Likert a una escala de ítem simple que evalúa las
percepciones de enfermedad en una escala lineal continua de 0 a 10 puntos.
En concreto, el B-IPQ está formado por nueve ítems, uno por dimensión evaluada
excepto para la dimensión de representaciones emocionales, que es evaluada a través
de dos ítems. Desaparece en el B-IPQ la dimensión de evolución (cíclica vs. estable).
Los ítems que forman parte del B-IPQ serian los siguientes:
- Consecuencias: ¿Cómo afecta la enfermedad a su vida?
- Duración: ¿Cuánto cree que durará su enfermedad?
- Control Personal: ¿Cuánto control siente que tiene sobre su enfermedad?
- Control por Tratamiento: ¿En qué medida cree que su tratamiento ayuda a
mejorar su enfermedad?
- Identidad: ¿En qué medida siente usted síntomas debido a su enfermedad?
- Representaciones Emocionales: ¿En qué medida está preocupado por su
enfermedad?, ¿En qué medida lo afecta emocionalmente su enfermedad? (Es decir, le
hace sentirse con rabia, asustado, enojado o deprimido)
- Preocupación: ¿En qué medida está preocupado por su enfermedad?
- Causas: Por favor, haga una lista con los tres factores más importantes que
usted cree que causaron su enfermedad, enumérelos en orden de importancia.
Como se puede observar, todos ellos, excepto el ítem relativo a la dimensión de
causas, se expresan en forma de pregunta y para la respuesta se utiliza una escala
que va de cero a diez, donde cero indica que la respuesta a la pregunta es totalmente
positiva (i.e., "no/nada en absoluto") y diez que indica que ésta es totalmente negativa
(i.e., "mucho/completamente"). Las percepciones acerca de las causas son evaluadas
a través de una pregunta con formato de respuesta abierta adaptada del IPQ-R en la
que se pide a los participantes que señalen los tres factores causales más importantes
para ellos en la génesis de la enfermedad. Las respuestas al ítem de causalidad
pueden ser agrupadas luego por el investigador en diferentes categorías como
factores psicológicos (e.g., estrés), factores comportamentales (e.g., estilo de vida),
factores externos (e.g., contaminación), factores incontrolables o biológicos (e.g.,
herencia), etc.
En cuanto a las puntuaciones del B-IPQ, éstas son de fácil interpretación, de
modo que los incrementos en las puntuaciones de los ítems representan incrementos
lineales en la dimensión evaluada.
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El B-IPQ, al igual que sus predecesores, presenta una adecuada fiabilidad test-
retest y existen asociaciones de moderadas a buenas entre este cuestionario y el IPQ-
R en las dimensiones equivalentes (Broadbent et al., 2006). Sin embargo, se han
señalado algunas limitaciones de carácter psicométrico en distintos estudios. En
primer lugar, parecen existir problemas relacionados con la validez concurrente del B-
IPQ en las dimensiones de control personal y control por tratamiento (Broabdent et al.,
2006; De Raaij, Schröder, Maissan, Pool y Wittink, 2012; French, Van Oort y Schröder.
2011). También ha sido puesta en cuestión su validez convergente con otras medidas
(Bazzazian y Besharat, 2010; Lochting, Garrat, Storheim, Werner y Grotle, 2013). Por
otro lado, y dentro de estas críticas a determinados aspectos psicométricos del B-IPQ,
se puede señalar la no existencia de evidencia en relación a la validez discriminante
de dicho instrumento (French et al., 2011) y la posible falta de validez de contenido
(French et al., 2011; Van Oort, Schröder y French, 2011).
Al igual que en el caso del IPQ y el IPQ-R, la versión general del B-IPQ incluye el
término "enfermedad" de forma genérica, pero éste puede ser sustituido por la
enfermedad concreta que esté siendo objeto de estudio. Del mismo modo, en las
dimensiones de control por tratamiento el término tratamiento puede sustituirse por el
tipo de tratamiento concreto. Además, al igual que sus predecesores, el B-IPQ permite
que puedan ser añadidos nuevos ítems o modificados los existentes de modo que se
adapten a grupos concretos de pacientes o a determinados problemas de salud.
Una pregunta clave que se podría plantear es cuándo resulta más adecuado
utilizar un cuestionario u otro. En este sentido, el IPQ-R es preferible al IPQ por todas
las mejoras introducidas, tanto a nivel de contenido como psicométricas. Además, el
IPQ-R ofrece una serie de ventajas relacionadas con la evaluación de la percepción de
los síntomas presentes en la enfermedad que no es evaluada en el B-IPQ. Por otro
lado, el IPQ-R utiliza más ítems para cada dimensión, lo que permite conocer más
profundamente la diversidad de las creencias que la conforman, evalúa
específicamente aspectos relacionados con la percepción de curso cíclico de la
enfermedad (dimensión no incluida en el B-IPQ) y se muestra más sensible a los
cambios en las representaciones sobre la enfermedad. En cuanto a las ventajas de B-
IPQ destacan, como ya se ha comentado, su facilidad de aplicación debido a su
brevedad y el formato de respuesta, por lo que es muy útil para ser utilizado con
poblaciones concretas, como personas muy enfermas, de mayor edad o con
limitaciones para responder (e.g., cognitivas, motoras, etc.), cuando la medida de las
representaciones de enfermedad forma parte de un estudio con mayor número de
variables evaluadas o cuando es necesario tomar medidas repetidas en un corto
periodo de tiempo.
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A partir del desarrollo de estos instrumentos dirigidos a evaluar las
representaciones cognitivas y emocionales que las personas construimos sobre la
enfermedad en general y sobre cada alteración en particular de acuerdo con el SRM y
debido al enorme interés suscitado por esta cuestión, han surgido otros instrumentos
que, basados en los anteriormente citados, han tratado de evaluar estos aspectos en
población sana introduciendo diferentes modificaciones sobre la base de estos
cuestionarios para adaptar su contenido a personas que no padecen o han padecido
una determinada enfermedad (e.g., Godoy y Godoy-Izquierdo, 2006; Figueiras y Alves,
2007).
A continuación se presenta una revisión de las principales investigaciones sobre
las representaciones cognitivas y emocionales de las enfermedades cáncer e
hipertensión, incluyendo las percepciones que las personas (pacientes, individuos con
riesgo, cuidadores y población general sin experiencia con la enfermedad) tienen
sobre estas enfermedades así como su relación con conductas de afrontamiento y
manejo de la enfermedad y el estado de salud y calidad de vida, siguiendo los
postulados básicos del SRM.
Los resultados de la investigación realizada sobre modelos personales de
enfermedad en trastornos cardiovasculares, incluyendo la hipertensión, y en cáncer
suponen un apoyo a los postulados básicos del Modelo de Autorregulación ya que, en
líneas generales, muestran que las representaciones que los pacientes y sus
familiares, así como las personas sanas, construyen acerca de sus problemas de
salud ejercen una influencia en las estrategias de afrontamiento que utilizan para
manejar la enfermedad y su impacto y, a través del papel mediador de éstas, en el
nivel de funcionamiento, la recuperación de la enfermedad y finalmente en el nivel de
bienestar y calidad de vida de unos y otros.
En este sentido, es necesario destacar, por un lado, la necesidad de llevar a cabo
más estudios que profundicen en el conocimiento de las construcciones cognitivas y
emocionales que las personas tenemos sobre la hipertensión y cáncer y de las
relaciones postuladas por el SRM entre estas representaciones, las acciones ante la
enfermedad y las consecuencias de éstas en la salud y la vida en general de las
personas, y, por otro, de utilizar el conocimiento emanado de los estudios realizados
para desarrollar intervenciones eficaces que conduzcan a una mejora en el abordaje
del cáncer por parte de no pacientes, pacientes y cuidadores, así como de las
enfermedades de carácter cardiovascular y de la hipertensión en particular,
favoreciendo un mejor conocimiento, afrontamiento y recuperación y finalmente un
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mayor bienestar, que debe ser el objetivo prioritario que guíe la intervención en
cualquier ámbito de la Psicología y particularmente en el de la Psicología de la Salud.
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65
CAPÍTULO 4
El modelo de autorregulación
y las enfermedades oncológicas (cáncer)
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4.1. Aplicaciones del Modelo de Autorregulación al cáncer: Evidencias empíricas
En cuanto a la investigación realizada sobre los modelos personales de cáncer y que
utiliza como base teórica el Modelo de Autorregulación, es necesario destacar, al igual
que ocurre en el caso de la hipertensión, que el número de estudios es escaso a pesar
del enorme problema que esta enfermedad supone para la salud pública a nivel
mundial y del impacto que esta enfermedad tiene en pacientes, cuidadores y familiares
así como en la población general.
4.1.1. Investigaciones realizadas con pacientes
Es necesario destacar que, a pesar de la escasez de estudios realizados para explorar
los postulados del SRM en cáncer, la mayor parte de los mismos se han desarrollado
con pacientes. Así, por ejemplo, Cameron y colaboradores (2005) llevaron a cabo un
estudio de carácter prospectivo para evaluar el papel de las creencias de enfermedad,
los factores de regulación emocional y las características sociodemográficas en la
decisión de participar o no en un programa grupal de apoyo de doce semanas de
duración para mujeres recientemente diagnosticadas de cáncer de mama. Para ello un
grupo de mujeres fueron evaluadas entre dos y cuatro semanas después del
diagnóstico a través de un amplio conjunto de pruebas relacionadas con factores
cognitivos y afectivos identificados por el Modelo de Autorregulación. En este sentido,
se evaluaron el malestar emocional relacionado con el cáncer, las tendencias de
evitación, las creencias acerca de la idea de que el cáncer es provocado por el estrés
y alteraciones del sistema inmunitario y las creencias sobre el control personal.
Además se tomaron medidas de ansiedad, depresión, apoyo social y características
demográficas. Los resultados pusieron de manifiesto que el 49% participó en el
programa. La participación en el programa estaba guiada por las representaciones de
enfermedad y los factores relacionados con la regulación de la emoción identificados
por el SRM. La participación fue predicha por creencias más fuertes de que el cáncer
era provocado por la alteración del sistema inmunitario, un mayor malestar relacionado
con el cáncer, menores tendencias hacia la evitación y una menor edad. Las creencias
acerca del control personal sobre la enfermedad no predecían la participación, al
contrario de lo que se esperaba. Otros factores como el apoyo social, el nivel
educativo, el malestar general o el pronóstico de la enfermedad no actuaban como
predictores significativos.
Millar y colaboradores (2005) desarrollaron una investigación de carácter
prospectivo de un año de duración para comprobar el nivel de malestar psicológico, las
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percepciones de enfermedad y la influencia de éstas en el malestar psicológico en
mujeres que habían sido operadas de cáncer de mama. Las participantes fueron
evaluadas justo después de la operación y a los tres, seis y doce meses. Los
resultados obtenidos indicaron una reducción general del nivel de malestar psicológico
a los doce meses, aunque éste era aún elevado en ese periodo en un 25% de las
participantes. Las pacientes con mayores niveles de malestar se caracterizaban en
general por niveles elevados de neuroticismo, mayor conciencia de los síntomas, más
temor y unos niveles más pobres de salud general. Los datos también señalaron que
el malestar psicológico en el año después de la operación era predicho principalmente
por el nivel de malestar justo después de la operación, la conciencia de los síntomas,
la percepción del curso de la enfermedad, la salud general y en menor medida por el
neuroticismo.
Scharloo y colaboradores (2005) trataron de comprobar qué representaciones de
enfermedad de pacientes recientemente diagnosticados de cáncer de cabeza y cuello
influían en su calidad de vida. Los resultados mostraron que las percepciones de
identidad y una menor edad se asociaban con un mejor funcionamiento físico. El
funcionamiento cotidiano estaba relacionado con una menor edad, menos síntomas
percibidos y una menor ciclicidad percibida del cáncer. Por otro lado, representaciones
emocionales más leves y menores síntomas percibidos se asociaban con un mejor
funcionamiento emocional. Finalmente, una menor percepción de ciclicidad se
asociaba con un mejor funcionamiento cognitivo.
LLewelyn, McGurk y Weinman (2006) realizaron una investigación con el objetivo
de determinar en qué medida la calidad de vida individualizada (sensación individual
de calidad de vida) se relacionaba con la calidad de vida estandarizada relacionada
con la salud en pacientes de cáncer. Por otra parte, también se trataba de comprobar
cuánta de la variación en cada una de las medidas de resultado podía ser explicada
por variables de carácter psicológico. Con esa intención se evaluó a pacientes
recientemente diagnosticados de cáncer de cabeza y cuello antes de comenzar con el
tratamiento así como ocho meses después. Los resultados mostraron que las medidas
de calidad de vida estandarizada y las de individualizada correlacionaban sólo
parcialmente. El estudio también puso de manifiesto que las representaciones de los
participantes acerca de la enfermedad y el tratamiento, especialmente las dimensiones
de identidad y duración, así como las estrategias de afrontamiento, se relacionaban de
manera importante tanto con la calidad de vida estandarizada como con la
individualizada en la medida pretratamiento.
Orbell y colaboradores (2006) realizaron un estudio de carácter prospectivo con el
objetivo de explicar la asistencia a la colposcopia y el seguimiento del tratamiento en
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los siguientes 15 meses en pacientes diagnosticadas de cáncer de útero. Mientras que
los componentes del SRM no predijeron las intenciones para completar el tratamiento,
sí discriminaron entre diferentes niveles de adherencia. Las participantes fueron
clasificadas en tres categorías, asistentes programadas, asistentes puntuales y
asistentes que abandonan.
LLewellyn, McGurk y Weinman (2007) desarrollaron una investigación de carácter
longitudinal para tratar de comprobar si las representaciones de la enfermedad
permitían predecir las consecuencias de ésta a través del tiempo en cuatro aspectos
básicos como son la calidad de vida relacionada con la salud, la calidad de vida
individualizada, la depresión y la ansiedad, así como para evaluar cómo las creencias
de los participantes acerca de la enfermedad y el tratamiento se asociaban con el
afrontamiento de la misma. Para ello evaluaron a un grupo de pacientes
diagnosticados de cáncer de cabeza y cuello antes del tratamiento, un mes y entres
seis y ocho meses después del tratamiento. Los resultados mostraron que las
creencias acerca de la cronicidad de la enfermedad se asociaban con depresión
después del tratamiento, sin que hubiera relación entre las creencias de los pacientes
y la calidad de vida individualizada, la calidad de vida relacionada con la salud y la
ansiedad a los seis meses del tratamiento. Por otro lado se halló que las estrategias
de afrontamiento y los niveles de satisfacción con la información disponible sobre la
enfermedad antes del tratamiento si eran buenos predictores de las consecuencias de
la enfermedad a lo largo del tiempo. También se observó que las creencias de los
participantes sobre la enfermedad y el tratamiento se relacionaban de manera
significativa con el afrontamiento de la enfermedad.
Letho (2007) realizó un estudio para evaluar las atribuciones causales sobre el
cáncer de posibles pacientes de cáncer de pulmón. También se exploró la relación
entre las atribuciones causales y las percepciones de coherencia y representaciones
emocionales antes y después de someterse a cirugía. Los resultados mostraron que
fumar fue la causa más frecuentemente señalada en ambos momentos. Otras causas
destacadas fueron el comportamiento propio, la polución, la herencia, la edad o la
suerte. Después de la cirugía, el comportamiento propio fue considerado como la
causa más importante después del consumo de tabaco, algo que no ocurría antes de
la misma. En cuanto a la relación entre atribuciones causales y las dimensiones de
coherencia y representaciones emocionales halló que la percepción de un accidente o
la suerte como causa del cáncer correlacionaba de forma inversa con la dimensión de
coherencia. Ninguna de las percepciones de causas correlacionó con las
representaciones emocionales. En cuanto a la posible influencia de las diferencias
sociodemográficas, encontraron que las mujeres mostraban puntuaciones más altas
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que los hombres en coherencia antes de la operación. También hallaron que los
participantes con mayor nivel educativo señalaban menos causas relacionadas con
factores de riesgo en ambos momentos, y que los participantes mostraban mayor
coherencia después de la cirugía cuanto mayor era su nivel educativo.
Trask y colaboradores (2008) llevaron a cabo un estudio para valorar las
conductas de autoexploración en supervivientes de cáncer de mama entre uno y
cuatro años después del diagnóstico así como para examinar los aspectos personales,
emocionales, cognitivos y de cuidados de salud que podrían contribuir a esa
exploración. En general, las participantes percibían el cáncer de mama como una
enfermedad aguda y cíclica, con altas probabilidades de control por tratamiento y no
experimentaban altos niveles de emociones negativas. En general, practicaban la
autoexploración, la mayoría lo habían hecho en el último mes y el 39% lo hacían más
de una vez al mes. La inmensa mayoría afirmaban que un médico o enfermera les
habían dicho que debían hacerlo una vez al mes, aunque sólo el 69% expresaba que
les habían explicado cómo hacerlo.
Gould, Brown y Branwell (2010) llevaron a cabo un estudio en el que examinaron
las asociaciones existentes entre las diferentes dimensiones de los modelos
personales de enfermedad en cáncer, el afrontamiento de la enfermedad y el malestar
emocional de pacientes recientemente diagnosticadas de cáncer ginecológico. Los
resultados mostraron que todas las dimensiones que conforman los modelos
personales de enfermedad excepto la de duración (aguda) poseían carácter predictivo
con respecto a las alteraciones en el estado de ánimo. Por otro lado, también se halló
que las relaciones entre las representaciones de la enfermedad y el humor podrían
estar mediadas por las estrategias de afrontamiento utilizadas por las pacientes. En
este sentido, existiría una posible vía relacionada con la mayor utilización de
estrategias de afrontamiento basadas en la evitación y la negación que mediaría en la
relación entre la percepción del cáncer como más cíclico y una menor coherencia en la
comprensión de la enfermedad y un humor más negativo.
Henselmans y colaboradores (2009) llevaron a cabo un estudio con el objetivo de
examinar el efecto de noticias decepcionantes en la percepción de adaptabilidad del
control personal sobre la cura en mujeres con cáncer de mama así como contrastarlo
con la adaptatividad del control general sobre su vida. Adicionalmente las creencias y
correlatos subyacentes al control sobre la curación fueron también explorados. Para
ello, mujeres recientemente diagnosticadas de cáncer de mama fueron evaluadas
después de la operación. Como una submuestra se utilizaron también los datos de
mujeres antes de la operación y después del tratamiento. La prescripción de
quimioterapia después de la operación fue utilizada como un indicador de las noticias
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decepcionantes. Los resultados pusieron de manifiesto que las noticias
decepcionantes no aumentaban ni limitaban la capacidad de adaptatividad de las
percepciones de control sobre una enfermedad específica ni de control general. Las
participantes manifestaron que el mantenimiento de una actitud positiva, la aceptación
del tratamiento y la adopción de un estilo de vida saludable les proporcionaba la
sensación de control sobre la curación. Las mujeres con una sensación fuerte de
control sobre la cura padecían más habitualmente un cáncer invasivo y eran más
jóvenes.
Traeger y colaboradores (2009) realizaron un estudio en el que examinaron las
creencias de enfermedad sobre cáncer en hombres que padecían cáncer de próstata
dentro de los 18 meses establecidos para completar su tratamiento. El objetivo era
conocer en qué medida el ajuste emocional de los supervivientes a un cáncer se ve
influenciado por el modo en que los pacientes interpretan los efectos secundarios del
tratamiento y otras experiencias relacionadas con el cáncer. Los resultados pusieron
de manifiesto que la percepción de mayor control a través del tratamiento, mayor
coherencia, menos consecuencias negativas y menores creencias en la personalidad
o el comportamiento como causa del cáncer se asociaban con un mayor nivel de
bienestar postratamiento. Por otro lado, el estrés vital de los participantes ejercía un
efecto mediador en la relación entre las consecuencias percibidas del cáncer de
próstata y el bienestar emocional, en el sentido de que la percepción de
consecuencias más negativas predecía un menor bienestar especialmente en aquellos
hombres con mayores niveles de estrés.
Constanzo, Lutgendorf y Roeder (2010) evaluaron a mujeres que habían padecido
cáncer de mama tres semanas y tres meses después de haber concluido el
tratamiento con quimioterapia y/o radioterapia con el objetivo de examinar los
esfuerzos realizados por las supervivientes para manejar la incertidumbre asociada a
padecer cáncer realizando cambios en su estilo de vida. Además, se investigó el papel
de las creencias de enfermedad sobre el cáncer en la explicación de dichos cambios
después del tratamiento. Los resultados obtenidos sugieren que las supervivientes a
un cáncer de mama realizan importantes esfuerzos para introducir cambios en su
estilo de vida dirigidos a mejorar su bienestar físico, emocional y espiritual. Los
resultados además señalan que las mujeres que creían que su cáncer se relacionaba
con consecuencias más graves y que atribuían su desarrollo y la prevención de su
recurrencia a un comportamiento saludable o al estrés era más probable que
introdujesen cambios en su dieta, incrementasen la actividad física o redujesen el
consumo de alcohol y tabaco. En general, los resultados muestran que las
supervivientes a un cáncer de mama piensan que poseen un control moderado sobre
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la enfermedad, perciben que el cáncer implica consecuencias graves o moderadas
para su vida y lo consideran una condición más aguda que crónica. Por otra parte,
estas mujeres mostraban creencias más fuertes acerca de aquello que provoca la
enfermedad y sobre qué deben hacer para evitar su recurrencia.
Gercovich y colaboradores (2012) desarrollaron un estudio para evaluar las
asociaciones entre las dimensiones de los modelos de enfermedad sobre el cáncer y
la calidad de vida considerando el rol modulador del malestar psicológico en pacientes
con cáncer de mama. Observaron que aunque aparecían asociaciones significativas
entre las dimensiones de las representaciones de la enfermedad y la calidad de vida,
éstas perdían su significación cuando se incluía el malestar psicológico. Las variables
que mejor predecían la calidad de vida eran el diagnóstico psicopatológico y el
malestar. La subescala de identidad se asoció con la calidad de vida, correlacionando
de manera inversa con el funcionamiento social, mientras que la de coherencia se
relacionaba de forma positiva con el funcionamiento cotidiano.
Hoogerwerf y colaboradores (2012) llevaron a cabo un estudio para evaluar las
representaciones emocionales sobre el cáncer de pulmón y el impacto de la
enfermedad. Además de evaluar sus representaciones del cáncer, pidieron a los
participantes que dibujaran cómo percibían sus pulmones enfermos para evaluar el
ajuste de ese dibujo a la realidad. Las puntuaciones en las diferentes dimensiones de
las creencias de enfermedad fueron en su mayoría moderadas. Los pacientes
mostraron elevada confianza en las posibilidades de controlar la enfermedad con el
tratamiento y no se mostraron especialmente ansiosos o preocupados por padecerla.
Señalaron como causas más importantes fumar o la mala suerte. Otras causas
también indicadas fueron el trabajo duro, el estrés o la herencia. Los dibujos eran
moderadamente ajustados aunque los tumores solían mostrarse más grandes en los
dibujos de lo que eran en la realidad. Encontraron correlaciones entre el grado de
ajuste del dibujo del cáncer y sus pulmones y puntuaciones en determinadas
dimensiones de las creencias de enfermedad. En este sentido, mayores puntuaciones
en duración y menores en control por tratamiento se asociaban con un dibujo más
ajustado a la realidad.
Hopman y Rijken (2015) desarrollaron un estudio para explorar cómo percibían su
enfermedad pacientes con diferentes tipos de cáncer. También fueron examinadas las
relaciones entre las representaciones sobre el cáncer de los pacientes con las
características de su enfermedad y sus estrategias de afrontamiento. Los participantes
en general percibían el cáncer como de larga duración y percibían el tratamiento como
efectivo, aunque consideraban que sus posibilidades de control personal eran más
bajas. También mostraban una buena comprensión de la enfermedad y no
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consideraban los factores de tipo psicológico como posibles causas, atribuyendo la
enfermedad sobre todo a la suerte. Los participantes con cáncer de piel percibían
consecuencias menos negativas mientras que aquéllos que habían sido tratados
recientemente percibían consecuencias más negativas y la enfermedad como más
crónica. Los participantes con cáncer de piel consideraban también que
bacterias/virus, la polución o las alteraciones inmunológicas eran causas del cáncer
más que otros pacientes con cánceres menos prevalentes. Por último, las pacientes
que sufrían cáncer de mama percibían una mayor influencia de factores psicológicos
en el desarrollo de su enfermedad. También encontraron diferencias de acuerdo con el
tratamiento recibido, de modo que los pacientes que recibieron sólo tratamiento
quirúrgico percibían el cáncer como menos crónico y con menos consecuencias,
mientras que los pacientes con una combinación de cirugía y otros tratamientos
percibían como causas los aspectos psicológicos en menos proporción.
Finalmente, Dempster et al. (2010) llevaron a cabo un estudio con supervivientes
de cáncer de esófago para tratar de determinar si se podrían agrupar en diferentes
perfiles de acuerdo con los cambios en sus representaciones sobre el cáncer a lo largo
de un año. Los resultados mostraron que los supervivientes mostraban cambios en
sus modelos de enfermedad sobre el cáncer después de un año y que podían ser
agrupados en diferentes perfiles de acuerdo con esos cambios. Dos de los perfiles
mostraron una evolución positiva de esas representaciones, mientras que los otros dos
mostraron cambios hacia representaciones de carácter más negativo. Así, los
participantes incluidos en el perfil 1 (30.1% de la muestra) mostraban un decremento
en identidad, ciclicidad y consecuencias, mientras que aumentaron sus percepciones
de control por tratamiento y disminuyeron las de control personal y causas. También
vieron incrementada su coherencia. El segundo de los perfiles (28) también mostró
una evolución positiva de las representaciones sobre el cáncer. Éstos incrementaron
su percepción de control personal, duración y coherencia así como sus
representaciones de causas emocionales y externas y disminuyeron sus percepciones
de control por tratamiento, identidad, ciclicidad y consecuencias. Los otros dos perfiles
evolucionaron hacia representaciones más negativas, el tercero de ellos (23.3% de los
participantes) con una disminución de la identidad, duración, ciclicidad, consecuencias,
control personal y por tratamiento y coherencia, y el último de los perfiles (18,6%) con
un incremento de sus percepciones de ciclicidad, consecuencias y control personal y
por tratamiento así como un decremento de las percepciones de causas externas,
comportamentales y emocionales y de la coherencia.
Como se puede observar, ninguno de los estudios revisados que tratan de
explorar las representaciones acerca del cáncer de acuerdo con el Modelo de
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Autorregulación en personas que padecen o han padecido la enfermedad ha sido
realizado con población española. Los estudios revisados y realizados en población no
española han señalado que las creencias que sobre el cáncer tienen los pacientes son
una mezcla de conocimiento médico objetivo y aspectos populares y culturales y que
determinan de forma profunda tanto las conductas de manejo de la enfermedad de
todos ellos como el estado de bienestar y la calidad de vida de los participantes.
Aunque muchos de los estudios revisados acerca de las representaciones
cognitivas y emocionales que sobre el cáncer construyen las personas que padecen
esta enfermedad se han dirigido a explorar las relaciones entre las creencias y
determinadas conductas de afrontamiento, o aspectos relacionados con el impacto de
la enfermedad en el bienestar y la calidad de vida, los que han tratado de conocer
cómo son esas creencias no especializadas muestran en general que el cáncer es
percibido por los pacientes como una enfermedad con altas probabilidades de control
por parte de los tratamientos existentes y menor en el caso de las acciones del propio
paciente, de larga duración y que genera reacciones emocionales no excesivamente
fuertes.
4.1.2. Investigaciones realizadas con población general sana, población en
riesgo y cuidadores
Si el número de estudios dirigidos a explorar los modelos de enfermedad en cáncer en
personas que padecen o han padecido la enfermedad es escaso, cuando centramos
nuestra atención en el estudio de dichas percepciones en la población sana o
poblaciones en riesgo esa cifra se reduce enormemente.
Figueiras y Alves (2007) evaluaron las percepciones acerca del cáncer de piel en
una muestra de individuos sanos. Además evaluaron también la afectividad negativa y
las actitudes hacia la adopción de un comportamiento preventivo. Los resultados
mostraron que en general el cáncer de piel era percibido como una enfermedad
escasamente sintomática, de larga duración, cíclica y con graves consecuencias para
los pacientes. Las percepciones de controlabilidad personal y por tratamiento fueron
de moderadas a altas. Los participantes además poseían una percepción
moderadamente buena de su comprensión de la enfermedad. En cuanto a las causas,
señalaron los factores relacionados con el estilo de vida más frecuentemente que
aspectos psicológicos. Encontraron también que las dimensiones de causas,
consecuencias, duración y coherencia explicaban un 11% de la varianza de las
actitudes hacia los comportamientos preventivos mientras que las de coherencia,
causas y representaciones emocionales explicaban el 8% de la intención de adoptar
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comportamientos preventivos. Los resultados también mostraron que las dimensiones
de las representaciones mostraban un patrón de interrelaciones lógicas:
Representaciones emocionales más fuertes correlacionaban positivamente con
identidad, una duración más crónica, menor ciclicidad, consecuencias más serias y
menor coherencia y negativamente con el control personal y tratamiento. Creencias
más fuertes de control por tratamiento se asociaban con menos consecuencias
percibidas, una duración menos crónica y un menor número de síntomas asociados a
la enfermedad. También encontraron que las atribuciones causales se relacionaban
con control personal y por tratamiento y coherencia.
Cameron (2008) llevo a cabo un estudio con estudiantes universitarios de ambos
sexos que nunca habían sufrido cáncer de piel para evaluar los contenidos de las
representaciones mentales del cáncer de piel y sus asociaciones con la valoración
acerca del riesgo de padecerlo, la preocupación y las intenciones y comportamientos
de protección ante este tipo de cáncer. Con este objetivo fueron evaluados a través del
AIRR (Evaluación de las representaciones del riesgo de enfermedad), una medida de
las representaciones de la enfermedad basada en el IPQ-R pero adaptada para
evaluar aspectos de las representaciones de riesgo; también evaluaron las imágenes
mentales relacionadas con la enfermedad. En relación a los contenidos de los modelos
mentales de enfermedad, los resultados pusieron de manifiesto que la mayoría de las
imágenes acerca del cáncer de piel manifestadas por los participantes se relacionaban
con los atributos representacionales identificados por el SRM: identidad, causas y
consecuencias, aunque los contenidos sobre síntomas predominaban sobre el resto.
Se identificó asimismo el modo en que los contenidos de las representaciones de
riesgo se asociaban con las evaluaciones de probabilidad y severidad y con la
preocupación. Así, los resultados mostraron que las evaluaciones de probabilidad se
asociaban positivamente con las creencias acerca de las causas, la identidad y la
evolución relacionadas con el riesgo. Además las creencias acerca de un menor
control personal se asociaron con mayores valoraciones de probabilidad. Los
resultados además mostraron que los atributos de las representaciones mentales,
incluidas la viveza de las imágenes y su valencia, predecían las intenciones y los
comportamientos ante el cáncer de piel mientras que las evaluaciones de probabilidad
y severidad carecían de ese valor predictivo. En este sentido, las imágenes mentales
acerca de los síntomas interactuaban con la preocupación para predecir las
intenciones relacionadas con la prevención y la detección: la preocupación predecía
mayores intenciones para aquellos que poseían imágenes mentales acerca de los
síntomas pero no para aquellos que carecían de dichas imágenes.
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Wang y colaboradores (2010) desarrollaron una investigación para describir y
comparar las creencias de causalidad sobre el cáncer de mama y colorrectal entre
mujeres sanas de la población general. Los resultados pusieron de manifiesto que
para ambos tipos de cáncer la herencia, seguida de los hábitos de alimentación,
fueron consideradas las principales causas. Con respecto al cáncer de mama, las
consideradas como más importantes fueron la herencia, seguida de los hábitos de
alimentación, la polución y los cambios en el sistema inmunitario. En relación al cáncer
colorrectal, las más destacadas fueron la herencia, los hábitos de alimentación y la
edad. Se observó que había más probabilidad de considerar la herencia y la polución
como causas del cáncer de mama, mientras que había más probabilidad de considerar
la dieta, la edad y la falta de ejercicio como causas del cáncer colorrectal. Las
participantes que habían sufrido una cirugía de colon consideraban que los gérmenes
o virus, pobres cuidados médicos en el pasado, la sobrecarga de trabajo o las
preocupaciones eran más causas del cáncer colorrectal. También encontraron
diferencias relacionadas con la edad en las atribuciones causales, de modo que las
mujeres con 50 o más años consideraban la herencia como causa de ambos tipos de
cáncer más frecuentemente que las menores de 50. Las más jóvenes también
percibían otros factores comportamentales y psicológicos. Se encontraron también
diferencias relacionados con el nivel educativo, de modo que aquellas con mayor nivel
de estudios pensaban que la falta de ejercicio tenían mayor peso en el cáncer
colorrectal. Por último, encontraron que las mujeres con una historia familiar de cáncer
colorrectal era menos probable que creyeran que la ausencia de cuidados médicos en
el pasado fuera la causa del cáncer.
Con respecto a los estudios que incluyen tanto población sana como enferma es
necesario destacar que el número de estudios realizados desde el SRM, a nuestro
conocimiento, es también extremadamente limitado. Algunos de ellos han ido dirigidos
a comparar las representaciones sobre el cáncer entre personas que padecían la
enfermedad con las de personas sanas mientras que otros han explorado las
diferencias en las percepciones sobre el cáncer entre pacientes y sus cuidadores.
En este sentido, Buick y Petrie (2002) desarrollaron una investigación con el
objetivo de determinar el ajuste de las percepciones de mujeres sanas acerca de cómo
las mujeres que padecen cáncer de mama afrontan la enfermedad. Para ello, se
comparó el malestar emocional, estilos de afrontamiento y percepciones de
enfermedad de mujeres que recibían tratamiento postquirúrgico para el cáncer de
mama y de una muestra de mujeres sanas. Los resultados pusieron de manifiesto la
clara incongruencia entre las percepciones que acerca de la enfermedad y su
tratamiento poseían las mujeres que no padecían cáncer de mama y las experiencias
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de las mujeres que sí padecían la enfermedad. En este sentido, las mujeres sanas
sobreestimaban el malestar de las pacientes, percibían consecuencias más graves
asociadas a la enfermedad y consideraban que las pacientes utilizaban estrategias de
afrontamiento basadas en la negación más frecuentemente de lo que lo hacían en
realidad.
Anagnostopoulos y Spanea (2005) realizaron un estudio en el que evaluaron
las creencias personales acerca del cáncer en mujeres que no padecían la
enfermedad o habían padecido un tumor benigno y mujeres con cáncer de mama. Las
representaciones del cáncer de mama en la muestra completa incluían creencias
sobre un moderado control sobre la enfermedad y un nivel moderado de
consecuencias de la misma, y atribuciones causales más fuertes a la suerte que a
factores internos, comportamentales o ambientales. Los resultados mostraron que las
mujeres que no habían padecido la enfermedad o en las que ésta era de carácter
benigno no tenían una representación ajustada de las experiencias con la enfermedad
de las pacientes: comparativamente, se caracterizaban por creencias más débiles de
controlabilidad así como por una sobreestimación de las consecuencias negativas del
cáncer. En relación a la etiología, poseían creencias más fuertes sobre el papel en su
inicio de factores ambientales y comportamentales, y más débiles respecto a la suerte,
que las participantes que padecían la enfermedad.
Orbell y colaboradores (2008) compararon las representaciones sobre el cáncer,
las respuestas de afrontamiento y el estado emocional (ansiedad) de personas que
reciben el diagnóstico de cáncer invasivo, de adenoma (o tumor benigno) y de no
neoplasia tras una prueba para detectar cáncer colorrectal. Las representaciones
acerca del cáncer variaban de acuerdo con el diagnóstico de la prueba; así, los
participantes diagnosticados con un cáncer invasivo percibían su resultado como más
aterrador y serio que aquellos sin neoplasia y era más probable que creyeran en una
mayor eficacia del tratamiento además de percibir una menor duración de la
enfermedad. Por otro lado, los participantes diagnosticados de cáncer era menos
probable que atribuyeran su enfermedad a factores relacionados con su estilo de vida.
Por el contrario, los participantes sin neoplasia percibían la enfermedad como poco
sintomática, moderadamente larga, impactante y controlable, aunque indicaron
percepciones más fuertes de controlabilidad por el tratamiento que personal. Sus
percepciones de coherencia fueron moderadas. Sus atribuciones causales eran más
de tipo biológico y psicológico que comportamental. Los participantes con adenoma se
distinguieron de los otros dos subgrupos por tener creencias más fuertes de control
personal y atribuir más frecuentemente la enfermedad a factores relacionados con el
estilo de vida. También se observó que mayores niveles de ansiedad tras el
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diagnóstico se asociaban con una percepción del cáncer como más amenazante en
términos de síntomas así como con representaciones emocionales más fuertes
combinadas con una menor percepción de control personal. También hallaron que los
esfuerzos por modificar el comportamiento se relacionaban con las creencias acerca
del control personal pero no con la severidad de las consecuencias percibidas ni con
las atribuciones causales. En concreto, encontraron que estas representaciones
predecían las conductas de afrontamiento de los participantes, lo que a su vez
predecía la participación en una nueva prueba de screening de seguimiento 2 años
después entre aquellos que no habían recibido el diagnóstico de cáncer en la primera
prueba.
Dempster y colaboradores (2011a) llevaron a cabo un estudio con cuidadores de
pacientes con cáncer de esófago para conocer cómo sus percepciones de la
enfermedad y estrategias de coping afectaban a su malestar psicológico (miedo a la
recurrencia de la enfermedad, ansiedad y depresión). Los cuidadores percibían el
cáncer de esófago como una enfermedad crónica y estable, causada principalmente
por factores externos en comparación con factores emocionales o comportamentales,
con consecuencias graves para el enfermo pero no tanto para el cuidador, y
moderadamente controlable tanto por el paciente como por los tratamientos
disponibles, aunque en menor medida por los propios cuidadores. Los cuidadores
informaron tener una representación moderadamente buena de la comprensión de la
enfermedad. Percepciones más fuertes de coherencia, controlabilidad personal y por
tratamiento, estabilidad y causalidad externa y percepciones más débiles de
consecuencias, así como estrategias de afrontamiento más positivas y funcionales se
asociaron a niveles menores de malestar psicológico en los cuidadores.
Dempster y colaboradores (2011b) llevaron a cabo otro estudio para determinar
en qué medida las representaciones acerca del cáncer de esófago en supervivientes a
la enfermedad y en sus cuidadores permitían explicar los niveles de malestar
psicológico de los primeros, en términos de ansiedad y depresión. También trataron de
comprobar la posible influencia de variables sociodemográficas y de las estrategias de
afrontamiento en esos niveles de malestar. Los resultados pusieron de manifiesto que
las representaciones sobre el cáncer de unos y otros eran muy similares, aunque los
cuidadores percibían menor controlabilidad personal y atribuciones causales
comportamentales y mayores consecuencias de la enfermedad para el paciente,
apoyando que la experiencia familiar con la enfermedad tiene una importante
influencia en las representaciones sobre la misma. También encontraron que, junto
con las percepciones que los propios pacientes tenían, ejercían una importante
influencia en el malestar psicológico de los supervivientes. Así, la percepción de la
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enfermedad por parte de los supervivientes como con consecuencias menos
negativas, mayor posibilidad de control personal y causas no relacionadas con el
estrés o el estado emocional se relacionaba con menores niveles de depresión y
ansiedad. También se halló que las representaciones de los cuidadores ejercían una
influencia importante en el malestar de los pacientes, de modo que cuando los
cuidadores percibían el cáncer como asociado a consecuencias más graves y bajas
posibilidades de control por tratamiento, los niveles de malestar en los supervivientes
al cáncer eran más elevados. De hecho, encontraron que las percepciones de los
cuidadores moderaban el impacto de las percepciones de los pacientes sobre su
bienestar emocional. Por último, también encontraron que las estrategias de
afrontamiento positivo se relacionaban con menores niveles de depresión y ansiedad.
De Castro y colaboradores (2013) llevaron a cabo un estudio con el objetivo de
comparar las percepciones sobre el cáncer de cuello de útero en mujeres con la
enfermedad, mujeres con lesiones precursoras y mujeres sanas. Aparecieron
diferencias entre los tres grupos en identidad, evolución y causas. Las mujeres sanas
percibían la enfermedad como más sintomática y estable que los otros dos grupos.
Con respecto a las causas de la enfermedad, las participantes con cáncer atribuían
menos causas psicológicas. Las mujeres con cáncer consideraban que la causa más
importante era "el estado emocional, el estrés y las preocupaciones", mientras que el
grupo con lesiones precursoras y de mujeres sanas consideraban que eran la actitud
personal y el comportamiento. En un estudio subsiguiente, De Castro y colaboradores
(2015) compararon las percepciones de enfermedad, el conocimiento del cáncer
cervical y las conductas de autocuidado de mujeres con y sin lesiones precursoras. No
se encontraron diferencias significativas entre ambos grupos en ninguna de las
variables del estudio. Los resultados mostraron que ambos grupos percibían pocos
síntomas, elevadas consecuencias y alta controlabilidad y que tenían una comprensión
parcial de la enfermedad. En cuanto a las representaciones emocionales, percibían en
el cáncer como moderadamente amenazante, y en cuanto a sus posibles causas,
asignaban pocas causas de carácter psicológico y más frecuentemente mencionaban
factores de riesgo generales.
Juth, Silver y Sender (2015) llevaron a cabo un estudio con adolescentes y
jóvenes con cáncer y sus cuidadores (en la mayoría de los casos, sus padres) para
examinar el grado en que las percepciones de ambos acerca de la severidad del
cáncer eran congruentes con la severidad objetiva de la enfermedad y para comparar
las percepciones subjetivas de severidad de pacientes y cuidadores y los síntomas de
estrés postraumático relacionados con el cáncer, investigando si las percepciones
subjetivas de severidad se relacionaban con el estrés postraumático de ambos grupos.
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Puntuaciones más altas en severidad se relacionaban con una mayor duración
percibida, mayor control personal sobre la enfermedad, mayores percepciones de
control por tratamiento, mayor número de síntomas percibidos, mayor preocupación
por sufrir la enfermedad y mayor coherencia. No encontraron, sin embargo, relación
entre las percepciones de severidad de pacientes y cuidadores y la severidad objetiva
de la enfermedad. Además, los pacientes mostraban una menor severidad percibida
que sus cuidadores en todas las dimensiones excepto en control por tratamiento.
Comparativamente, los cuidadores mostraron mayores niveles de estrés
postraumático. En cuanto a los pacientes, sus síntomas de estrés postraumático eran
predichos por sus percepciones de la enfermedad; sin embargo, en el caso de los
cuidadores, sus síntomas fueron predichos por sus propias creencias sobre la
enfermedad así como por las de los pacientes.
Dentro de este grupo de estudios con personas sanas, una parte de la
investigación se ha dirigido a conocer las representaciones que sobre el cáncer
poseen poblaciones en riesgo, como demuestran algunos de los estudios presentados
hasta ahora. Rees y colaboradores (2004) realizaron una investigación en la que
compararon las percepciones de enfermedad de un grupo de mujeres con alto riesgo
de sufrir cáncer de mama debido a su historia familiar con las de un grupo control de
mujeres sanas sin riesgo establecido. Encontraron que el nivel de malestar con
respecto al cáncer de estas mujeres era similar al del grupo control. No obstante, se
hicieron evidentes algunas diferencias en las percepciones de la enfermedad entre
ambos grupos. Así, las mujeres con un mayor riesgo de sufrir cáncer de mama
presentaban una comprensión más coherente del trastorno y tenían una concepción
de la enfermedad más cercana al conocimiento médico.
Van Oostrom y colaboradores (2007a) llevaron a cabo una investigación de
carácter prospectivo para explorar la contribución de las representaciones de
enfermedad, las percepciones de riesgo y el afrontamiento del estrés relacionado con
el cáncer al bienestar emocional en individuos no afectados por la enfermedad que
fueron sometidos a la prueba genética predictiva para la identificación de la mutación
para cáncer de mama o cáncer colorrectal. La evaluación de las variables predictoras
se realizó antes de la revelación de los resultados de la prueba. La angustia ante el
cáncer hereditario y la preocupación por el cáncer fueron evaluadas antes, dos
semanas después y seis meses después de la revelación de los resultados. Los
resultados obtenidos confirmaron que las representaciones del cáncer como una
enfermedad de larga duración, con consecuencias más serias y una menor coherencia
en la comprensión de la enfermedad se relacionaban con todos los comportamientos
de afrontamiento, especialmente con el afrontamiento pasivo, que a su vez estaba
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relacionado con la angustia ante el cáncer hereditario y la preocupación ante el
cáncer. Además, una alta percepción de riesgo de desarrollar cáncer también se
relacionó con el afrontamiento pasivo y percepciones más pesimistas de la
enfermedad, como una duración más crónica, consecuencias más serias y una menor
coherencia. Asimismo, se observó que atribuciones causales a aspectos incontrolables
de carácter genético se relacionaban con representaciones de la enfermedad menos
favorables, con un mayor número de comportamientos de afrontamiento y mayor
angustia ante el cáncer. Distintas estrategias de afrontamiento y representaciones
cognitivas predecían la preocupación ante el cáncer seis meses después de la
revelación del resultado. Uno de los predictores más importantes fue el afrontamiento
pasivo. De las dimensiones de los modelos personales de enfermedad, la coherencia
fue la que mostró un mayor valor predictivo de la angustia ante el cáncer
especialmente a largo plazo.
En otro estudio (Van Oostrom et al., 2007b), exploraron la contribución de las
representaciones de enfermedad, el afrontamiento, la experiencia con el cáncer en la
familia y el funcionamiento familiar a la angustia ante el cáncer hereditario seis meses
después de la revelación de los resultados de la prueba genética predictiva del cáncer
de mama y colorrectal en la misma muestra de personas sometidas a dicha prueba.
Los resultados mostraron que las experiencias a nivel familiar con el cáncer estaban
relacionadas de manera significativa con la angustia ante el cáncer de carácter
hereditario, especialmente el número de familiares de primer grado afectados así
como tener un padre/madre afectados de cáncer cuando el participante estaba en una
edad temprana (menos de trece años). También el modo en que los participantes
percibían el cáncer hereditario así como el modo en que lo afrontaban fue relacionado
con la angustia ante el cáncer. En este sentido, poseer representaciones emocionales
más intensas, una percepción menos coherente del mismo, un menor control percibido
sobre la enfermedad y la percepción de consecuencias más negativas se relacionaba
con un mayor nivel de angustia. En cuanto a los estilos de afrontamiento,
especialmente el afrontamiento pasivo y la autodistracción eran predictores de la
angustia ante el cáncer hereditario.
Finalmente, en un tercer estudio (Van Oostrom et al., 2007c) compararon a
individuos pertenecientes a familias con una mutación identificada para el cáncer de
mama o colorrectal para llevar a cabo recomendaciones para el posterior ajuste de la
intervención a las necesidades específicas de los pacientes. El estudio se focalizó en
las posibles diferencias con relación a: 1) Las experiencias con el cáncer hereditario
en el seno de la familia, 2) las representaciones de la enfermedad, 3) el afrontamiento,
4) las características del sistema familiar y 5) el nivel y el curso del malestar ante el
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cáncer de carácter hereditario, la preocupación ante el cáncer y la percepción de
riesgo, aspectos que fueron evaluados antes, una semana después y seis meses
después de la revelación de los resultados de la prueba genética predictiva para el
cáncer de ambos cánceres. Los resultados pusieron de manifiesto que, en general, los
participantes con mutaciones familiares no diferían en relación al número de
experiencias con cáncer en familiares, síntomas de dolor, el curso del malestar ante el
cáncer, la preocupación o la percepción de riesgo a través del tiempo. Tampoco se
observaron diferencias en las percepciones de enfermedad, respuestas de
afrontamiento o características familiares. Estos hallazgos parecen indicar que serían
las características individuales las que predecirían el ajuste al examen genético más
que el tipo de cáncer. Se observaron diferencias entre ambos grupos en el hecho de
que los individuos pertenecientes a familias con mutación para cáncer colorrectal
manifestaban una visión más positiva de las consecuencias del cáncer hereditario. Los
individuos con familias con mutación para el cáncer de mama mostraban una mayor
impotencia ante el riesgo, manifiestan mayor malestar antes de la revelación de los
resultados de la prueba y una mayor preocupación. Además los no portadores de
dicha mutación mostraron una mayor preocupación ante la posibilidad de sufrir cáncer
de mama que los no portadores de la mutación para cáncer colorrectal. Se comprobó
que aquéllos además utilizaban más frecuentemente un estilo de afrontamiento pasivo
y una comunicación menos abierta con su pareja y sus hijos.
Hevey y colaboradores (2009) llevaron a cabo un estudio con hombres por encima
de los cuarenta años con el objetivo de examinar los modelos de enfermedad en
cáncer de próstata, el nivel de conocimiento con respecto a la enfermedad y su
detección precoz y las intenciones para asistir a la prueba con la que se detecta la
presencia del cáncer cuando es ofertada por el doctor o cuando es autoiniciada. Los
resultados pusieron de manifiesto que los participantes poseían un conocimiento
bastante ajustado acerca del cáncer de próstata así como creencias positivas acerca
del chequeo. Éstos percibían la enfermedad cómo crónica, con consecuencias serias y
asociada a respuestas emocionales negativas. Entre las causas más comunes del
cáncer de próstata los participantes destacaron la edad, factores hereditarios y
aspectos relacionados con su estilo de vida (fumar, la dieta, el alcohol, el estrés). Por
otra parte, los resultados señalaron que las creencias de enfermedad no se
relacionaban con las intenciones para el chequeo, intenciones que eran mayores si
este era recomendado por el médico que si era autoiniciado.
Lancastle, Brain y Phelps (2011) realizaron un estudio para valorar en mujeres
con riesgo de desarrollar cáncer de ovario debido a sus antecedentes familiares las
asociaciones entre los elementos del SRM y los niveles de depresión y ansiedad antes
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del proceso de evaluación (screening) y determinar otros posibles predictores de ese
malestar psicológico. La evaluación se realizó antes de la fase dos de su proceso de
evaluación (i.e., antes de la prueba de screening), en la que se les informaba sobre el
cáncer de ovario, sus riesgos y las posibilidades de prevención. Los resultados
mostraron correlaciones entre las representaciones de enfermedad y el malestar
psicológico, de modo que representaciones emocionales más fuertes se asociaban a
mayores niveles de malestar, tanto ansiedad, depresión como malestar específico
relacionado con el cáncer de ovarios. Además, creencias sobre consecuencias más
negativas se relacionaban con mayores niveles de malestar.
El número de estudios sobre representaciones del cáncer en población que no
padece ni ha padecido la enfermedad se va a ver reducido de manera importante
cuando hablamos de investigaciones realizadas en nuestro país. De hecho, sólo un
estudio, a nuestro conocimiento, se ha dirigido a conocer las creencias personales no
especializadas sobre cáncer en personas españolas. Godoy-Izquierdo, López-Chicheri
et al. (2007) llevaron a cabo una investigación para conocer los modelos personales
sobre el cáncer en una muestra de estudiantes universitarios utilizando como
instrumento de evaluación la versión española del Cuestionario de Modelos Implícitos
de Enfermedad de Turk, Rudy y Salovey (1986). Los resultados obtenidos mostraron
que la enfermedad era percibida por la mayoría de los participantes como sintomática
y dolorosa, con un importante impacto en la vida del enfermo, duradera con cambios a
través del tiempo (i.e., cíclica) y con posibilidad de curación. En dicha investigación,
además de evaluarse las representaciones mentales acerca de la enfermedad, se
estudió la influencia de la experiencia con la enfermedad, hallándose diferencias en los
modelos personales de la enfermedad entre aquellas personas que habían padecido la
misma o habían convivido con un enfermo de cáncer y las que no habían padecido la
enfermedad y/o no habían convivido con un enfermo de cáncer, lo que es indicativo de
la influencia de la experiencia personal en los modelos de enfermedad. En general, las
personas con experiencia personal o familiar con la enfermedad demostraban tener
esquemas más favorables, benevolentes o positivos de la enfermedad. No obstante,
esto no se estudió para el cáncer específicamente, sino para un conjunto de
enfermedades consideradas de forma combinada, de forma que es una cuestión aún
desconocida.
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CAPÍTULO 5
El modelo de autorregulación
y las enfermedades cardiovasculares: la hipertensión
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5.1. Aplicaciones del Modelo de Autorregulación a las enfermedades
cardiovasculares: Evidencias empíricas
Si dirigimos nuestra atención a la investigación realizada en el ámbito de los modelos
personales de hipertensión que utiliza como base teórica el Modelo de
Autorregulación, hemos de señalar que el número de estudios es escaso a pesar de la
relevancia de este problema para la salud pública, de su peligrosidad para la calidad
de vida y la longevidad y del apoyo científico que ha recibido el SRM en general para
las enfermedades físicas crónicas como la hipertensión. No obstante,
comparativamente es más abundante la investigación realizada con respecto a
enfermedades cardiovasculares (ver Tabla 6).
Dentro de ese núcleo de investigación, la mayoría de los estudios ha ido dirigida a
conocer las representaciones que pacientes con alteraciones cardiovasculares,
fundamentalmente infarto de miocardio, poseen acerca de su problema con el objetivo
de evaluar si existe alguna relación entre dichas representaciones y las conductas de
afrontamiento, incluyendo un aspecto clave como es la adherencia a los tratamientos,
desde los programas de rehabilitación cardíaca a las modificaciones en el estilo de
vida (Cooper et al., 1999; Cooper et al., 2007; Figueiras y Weinman, 2003; Lau-
Walker, 2007; Petrie et al., 1996; Weinman et al., 2000). Del mismo modo, la
investigación se ha dirigido a comprobar si dichos modelos de enfermedad ejercen
alguna influencia en la recuperación de la enfermedad o las consecuencias de las
mismas, incluyendo la salud, el bienestar, la calidad de vida o el funcionamiento de los
pacientes en diversas áreas de su vida después de sufrir la alteración cardiovascular
(Affleck et al., 1987; Cherrington, Moser y Lennie, 2004; Figueiras y Weinman, 2003;
Petrie y Cameron, 2002; Petrie et al., 1996; Weinman et al., 2000).
Otros estudios han tratando de determinar si los modelos de enfermedad que los
pacientes con una enfermedad cardiovascular han construido acerca de la misma
guardan alguna relación con variables de carácter médico y de severidad de la
enfermedad (Affleck et al., 1987; Cherrington et al., 2004; Hirani y Newman, 2006).
Por otro lado, la investigación sobre los modelos personales de enfermedad
también posee un importante carácter aplicado, de modo que se han desarrollado
intervenciones destinadas a incidir en las creencias que los pacientes construyen
sobre su problema cardiovascular con el objetivo final de mejorar su proceso de
adaptación y recuperación de la enfermedad y optimizar su funcionamiento y calidad
de vida. Por ejemplo, Petrie y Cameron (2002) llevaron a cabo un estudio para
determinar si una intervención breve desarrollada en el hospital antes del alta y dirigida
a modificar las percepciones de los pacientes después de su primer infarto de
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miocardio podría conducir a la reducción de la incapacidad después del alta
hospitalaria, a una vuelta más rápida al trabajo y a una mejora de la asistencia a la
rehabilitación cardíaca. Los pacientes fueron evaluados antes de la intervención y a
los tres meses, momento en que también completaron una escala de malestar
asociado a los síntomas y fueron preguntados acerca de la frecuencia con la que
habían experimentado dolor en el pecho en la semana anterior y la intensidad de ese
dolor. Los resultados mostraron que, después de la intervención, los pacientes tenían
creencias más leves sobre las consecuencias de la enfermedad y su curso y creencias
más fuertes sobre la posibilidad de controlar la enfermedad. Mostraron además
menores niveles de malestar asociados a los síntomas. Dichos cambios en sus
creencias se mantuvieron a los tres meses. En cuanto a la información recibida sobre
el infarto de miocardio, el grupo que recibió la intervención presentó mayores niveles
de comprensión sobre su enfermedad y se sintieron mejor preparados para dejar el
hospital. Los participantes que recibieron la intervención también vieron más probable
su asistencia a la rehabilitación y experimentaron un menor dolor de pecho que los del
grupo control.
En cuanto a la investigación realizada con no pacientes, algunos estudios han
incluido no sólo a pacientes sino también a sus parejas o familiares, teniendo en
cuenta el importante papel que el apoyo social juega en todo el proceso de
afrontamiento y recuperación de la enfermedad (Figueiras y Weinman, 2003;
McClenahan y Weinman, 1998; Weinman et al., 2000). En estos estudios se ha tratado
de conocer sus representaciones sobre la enfermedad, sus estrategias de
afrontamiento frente a la misma y las consecuencias de ello tanto para su propio
bienestar y calidad de vida como para los del paciente.
Finalmente, aunque en muchos de los estudios anteriormente mencionados se ha
explorado si existe algún tipo de influencia de las variables sociodemográficas en los
modelos de enfermedad de pacientes con problemas cardiovasculares o sus
cuidadores, algunos estudios se han desarrollado con el único objetivo de abordar este
aspecto. Así, Dunkel et al. (2011) estudiaron las atribuciones causales de pacientes
que iban a ser intervenidos quirúrgicamente para un bypass coronario para comprobar
si existían diferencias de género en esas atribuciones causales y la existencia de
sintomatología depresiva en los pacientes un año después de ésta. Además, se
recabó información sobre determinados datos sociodemográficos (edad, sexo, nivel
educativo y situación sentimental), así como datos clínicos y de apoyo social. Los
resultados pusieron de manifiesto que los hombres atribuían sus problemas cardíacos
con mayor frecuencia a su comportamiento relacionado con la salud, mientras que
para las mujeres era más probable que la causa de estos problemas fuera el
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destino/suerte. Por otro lado, los niveles de depresión se mostraban independientes
del género y de las variables sociodemográficas y clínicas. La atribución del problema
a factores de personalidad, estrés, sobrecarga mental y al destino se mostró asociada
a un incremento de la sintomatología depresiva tanto en hombres como en mujeres un
año después de la operación. Además, se observó que las asociaciones entre las
variables sociodemográficas y clínicas diferían según la edad. Así, se observó que
tanto los hombres como las mujeres de mayor edad realizaban mayores atribuciones
de su problema a su comportamiento.
5.2. Aplicaciones del SRM a la hipertensión: Evidencias empíricas
5.2.1. Investigaciones realizadas con pacientes
De forma pionera, Meyer, Leventhal y Guttman (1985) realizaron un estudio para
conocer las representaciones mentales sobre la hipertensión y determinadas
conductas asociadas a la enfermedad. Para ello, se entrevistó a cuatro grupos de
participantes: 1) Grupo control de participantes normotensos; 2) Pacientes hipertensos
incluidos en tratamiento recientemente; 3) Pacientes hipertensos en tratamiento de
forma continuada; y 4) Pacientes hipertensos que habían retomado el tratamiento tras
haberlo abandonado. Las hipótesis de partida de este estudio eran: 1) Los pacientes
construyen representaciones sobre una elevada presión sanguínea utilizando
síntomas concretos y nociones conceptuales, y 2) esas representaciones ejercen una
importante influencia en los comportamientos de afrontamiento, en concreto la toma de
la medicación y la permanencia o abandono del tratamiento. Para evaluar las
representaciones que todos ellos poseían acerca de la hipertensión se utilizó una
entrevista con preguntas de final abierto que evaluaban las percepciones acerca de los
síntomas, causas, mecanismos fisiológicos y consecuencias de la hipertensión así
como el afrontamiento de la enfermedad y la adherencia al tratamiento médico. Se
valoró también el control de la presión sanguínea en el grupo de participantes en
tratamiento activo.
Los resultados mostraron que la gente, independientemente de su condición,
construye creencias sobre la hipertensión. Los participantes, incluidos los del grupo
control, consideraban que la hipertensión se asocia con una serie de síntomas que
podrían servir para monitorizar elevaciones en la presión sanguínea; además, los
pacientes indicaron que la enfermedad podría tener una duración limitada y que era
causada por una variedad de condiciones como el trabajo, la familia, el estrés y la
dieta. Los resultados mostraron también una evolución en esas representaciones a lo
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largo del tiempo, de modo que los participantes que llevaban en tratamiento un largo
periodo de tiempo consideraban que podían monitorizar sus síntomas mejor. Aquellos
pacientes que habían sido incluidos recientemente en el tratamiento decían ser
también capaces de monitorizar los síntomas seis meses después de la entrevista
inicial. Del mismo modo, se observó que con el paso del tiempo la percepción de la
enfermedad como aguda iba evolucionando a crónica. Los resultados también
señalaban que las representaciones mentales que los participantes poseían acerca de
la hipertensión no eran coherentes ni bien organizadas. Sólo un porcentaje pequeño
de los participantes establecía conexiones claras entre los síntomas, causas y
mecanismos fisiológicos del problema.
Los resultados también pusieron de manifiesto que las personas que establecían
conexiones claras entre esas dimensiones no mostraban una mayor adherencia a la
medicación. En cuanto a la posible relación entre las creencias sobre la hipertensión y
el comportamiento, se observó que la creencia de que las variaciones en la presión
sanguínea se relacionaban con unos síntomas determinados estaba asociada con una
mayor adherencia a los regímenes médicos (i.e., ausencia de faltas repetidas y
adecuado control de la presión sanguínea). Esa relación entre percepción de síntomas
y adherencia al tratamiento se observó para los pacientes que estaban en el grupo de
tratamiento continuado. La percepción de que el tratamiento tenía efectos beneficiosos
en los síntomas fue crítica en la predicción de la adherencia. La percepción de la
existencia de síntomas estaba relacionada además con el abandono del tratamiento
en los pacientes tratados recientemente, de modo que aquéllos que señalaban un
mayor número de síntomas era más fácil que abandonaran el tratamiento en los
primeros meses. Por otro lado, la percepción de la duración de la enfermedad era
también un buen predictor del mantenimiento o el abandono del tratamiento. Así,
aquéllos que percibían la enfermedad como crónica del grupo de los tratados
recientemente era más fácil que permanecieran en tratamiento.
Ross, Walker y Mac-Leod (2004) investigaron las creencias sobre la hipertensión
así como sobre la medicación que poseían pacientes hipertensos y si esas creencias
influían en la adherencia a la medicación antihipertensiva. La hipertensión era
percibida como una enfermedad de larga duración y que podía ser controlada,
asociada al mismo tiempo a escasas consecuencias y bajas respuestas emocionales.
Los pacientes pensaban también que las causas de la hipertensión eran psicológicas o
relacionadas con factores de riesgo conductuales como el tabaco o la obesidad. En
general, los participantes pensaban que el tratamiento farmacológico era necesario.
Por otro lado, se encontró que una adherencia positiva se asociaba con creencias más
fuertes de control por tratamiento a la vez que con creencias más débiles de control
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personal y consecuencias de la hipertensión y con menores respuestas emocionales.
La adherencia también se asociaba positivamente con la percepción de que la
medicación es necesaria. Los resultados también pusieron de manifiesto la influencia
de la edad y el género en los niveles de adherencia: Los participantes de mayor edad
y las mujeres mostraban mejor adherencia al tratamiento.
Heckler y colaboradores (2008) examinaron las creencias, comportamientos y
control de la hipertensión en pacientes afro-americanos. Las hipótesis de partida eran
que las dimensiones propuestas por el SRM de causas y control se podían incluir en
dos modelos diferentes, un modelo de creencia de estrés (i.e., la hipertensión es
causada y controlada por factores relacionados con el estrés) y un modelo de creencia
médica (i.e., la hipertensión es causada y controlada por factores relacionados con
aspectos médicos). De acuerdo con ello, alinearse con un modelo médico conllevaría
implicarse en una mayor adherencia así como en cambios en el estilo de vida para
controlar la hipertensión, mientras que aquellos pacientes que se adscriben a un
modelo de estrés se implicarían en conductas de reducción del estrés y no
mantendrían una adecuada adherencia a los cambios en su estilo de vida. El resto de
dimensiones propuestas por el SRM se relacionarían también con la adherencia a la
medicación, los cambios en el estilo de vida y las conductas de reducción del estrés.
La adherencia a la medicación y los cambios en el estilo de vida se esperaba además
que estuvieran relacionados con los niveles de presión diastólica y sistólica.
Finalmente, se esperaba que las creencias de enfermedad sobre la hipertensión
estuvieran asociadas con la presión sanguínea, de modo que esa relación estuviese
mediada por la adherencia a la medicación y los cambios en el estilo de vida pero no
por las conductas de reducción del estrés. Los participantes fueron evaluados a través
de una entrevista en la que se examinaron sus creencias de enfermedad de acuerdo
con el Modelo de Autorregulación y los comportamientos de manejo de la enfermedad
categorizados en tres niveles: Adherencia a la medicación, cambios en el estilo de vida
y comportamientos de reducción del estrés. También fueron recabados datos
demográficos como género, edad, estado civil y nivel educativo así como datos
médicos como los años desde el diagnóstico, el número de fármacos antihipertensivos
prescritos y los niveles de presión sistólica y diastólica.
Los resultados pusieron de manifiesto que los pacientes que seguían un modelo
médico de creencias sobre la hipertensión (por ejemplo, causada y controlada por
factores como la dieta, la edad y el peso) mostraban una menor presión sistólica,
relación que estaba mediada por los cambios realizados en el estilo de vida (e.g.,
eliminar el consumo de sal, hacer ejercicio), mientras que aquellos pacientes que
tenían creencias sobre hipertensión basadas en el modelo de estrés llevaban a cabo
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comportamientos de reducción del estrés que, sin embargo, no se relacionaban con
los niveles de PA. También se halló que la percepción de mayores consecuencias de
la enfermedad se relacionaba con mayores comportamientos de reducción del estrés.
Por otro lado, se observó que cambios adecuados en el estilo de vida se relacionaban
con una menor presión sistólica pero no con la adherencia a la medicación. Ninguna
de las variables se mostró relacionada con los niveles de presión diastólica.
Chen, Tsai y Lee (2009) evaluaron los efectos predictivos que las percepciones de
enfermedad tenían sobre la adherencia a los regímenes terapéuticos (medicación y
cambios en el estilo de vida, incluyendo dieta insana, dieta sana, ejercicio físico y
asistencia a las citas médicas) de pacientes hipertensos. También fueron evaluados
aspectos demográficos tales como género, estado civil, nivel educativo, situación
laboral y situación familiar, y clínicos como niveles de presión sistólica y diástolica,
número de medicamentos prescritos, historia familiar de hipertensión, presencia de
otras enfermedades y consumo de tabaco. Los resultados pusieron de manifiesto que
creencias más fuertes de control por tratamiento predecían una mayor adherencia a la
medicación, mientras que creencias más fuertes sobre control personal se
relacionaban con una mayor adherencia a hábitos saludables. En cuanto a las
atribuciones causales, se encontró que atribuir la hipertensión a factores de riesgo
generales o aspectos psicológicos se asociaba a una mayor adherencia a la
medicación prescrita, mientras que las atribuciones a factores de tipo cultural
predecían la adherencia al autocuidado. También se encontró que aquellos
participantes que manifestaban experimentar síntomas mostraban mayor adherencia a
las actividades de autocuidado, mientras que aquellos que no estaban seguros de
experimentar síntomas era más probable que autorregularan la toma de su
medicación. Finalmente, los resultados mostraron también la influencia de factores
sociodemográficos y clínicos, de modo que aquellos participantes de mayor edad, con
un mayor nivel educativo y que llevaban más tiempo sufriendo hipertensión era más
probable que mostraran mayor adherencia a actividades de autocuidado, mientras que
los que vivían con su familia y aquéllos con historia de hiperlipidemia exhibían una
mejor adherencia al tratamiento farmacológico.
Figueiras y colaboradores (2010) llevaron a cabo un estudio para conocer cuáles
eran las creencias sobre la hipertensión de pacientes hipertensos y su relación con las
creencias sobre la medicación, así como para identificar diferentes esquemas de la
enfermedad y su posible relación con la elección de la medicación (genéricos o de
marca). También se incluyeron datos sociodemográficos como edad, género y nivel
educativo. Los resultados mostraron que la hipertensión era percibida como una
enfermedad de larga duración, lo que se relacionaba con la creencia relativamente
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fuerte de los participantes de la necesidad de tratamiento. Las creencias sobre la
necesidad de la medicación se relacionaban positivamente con las creencias sobre el
control personal y por tratamiento, pero éstas no se relacionaban con las
preocupaciones sobre la medicación. Se encontraron también tres clusters de
esquemas de enfermedad que eran diferentes de acuerdo con la elección de la
medicación y al mismo tiempo independientes de variables demográficas. De este
modo, pacientes con una visión más negativa de la enfermedad (grupo 1) poseían
graves percepciones sobre sus consecuencias, creencias de curso crónico, una
creencia fuerte en el control personal y por tratamiento, una identidad fuerte, una
preocupación por la enfermedad muy alta y unas representaciones emocionales muy
negativas, aunque pensaban que poseían una buena comprensión de su condición.
Los pacientes del segundo grupo mostraban diferencias significativas con los del
primer grupo, y sus creencias sobre consecuencias, identidad, nivel de preocupación y
representaciones emocionales eran menos negativas. Para el tercer grupo había
diferencias significativas con los pacientes de los otros dos grupos en todas las
dimensiones excepto identidad. Estos participantes mostraban creencias más positivas
sobre las consecuencias de la hipertensión, un curso más agudo, creencias más bajas
sobre el control personal y por tratamiento, una menor preocupación y comprensión de
la enfermedad y unas representaciones emocionales más positivas. Se observó que
los pacientes con un modelo más grave sobre la hipertensión era más probable que
eligieran medicamentos de marca, y aquéllos con una percepción más positiva en
términos de consecuencias, control personal y por tratamiento y representaciones
emocionales más positivas era más probable que eligieran fármacos genéricos.
Lopes y colaboradores (2010) llevaron a cabo un estudio para explorar el impacto
de las creencias sobre la medicación y las percepciones sobre la hipertensión en el
control de la PA y la adherencia a la medicación. Los resultados pusieron de
manifiesto la influencia de aspectos sociodemográficos en las creencias de los
participantes. Así, aquéllos que tenían 64 años o menos mostraban percepciones más
débiles sobre la cronicidad de la hipertensión, mayores creencias sobre el control
personal y una menor percepción de la necesidad de tomar la medicación
antihipertensiva. Los pacientes que tenían prescrito más de un tratamiento
farmacológico presentaban mayor preocupación sobre los medicamentos y
percepciones más serias sobre las consecuencias de la enfermedad. Por otro lado, los
participantes que además de hipertensión sufrían diabetes mostraban mayores
preocupaciones relacionadas con la enfermedad y mayores creencias relacionadas
con los efectos secundarios de la medicación. También se encontraron diferencias
relacionadas con el género: Las mujeres mostraron creencias menos fuertes sobre el
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uso excesivo de la medicación que los hombres. Sin embargo, no se encontró que los
niveles de PA se relacionasen con las creencias sobre la hipertensión, los tratamientos
o cualquier otra de las variables estudiadas.
Chen, Tsai y Chou (2011) quisieron conocer las relaciones entre las
representaciones cognitivas y emocionales sobre la hipertensión y la adherencia a la
medicación prescrita y a las recomendaciones de autocuidado en pacientes
hipertensos. Encontraron que las representaciones sobre identidad se relacionaban de
manera tanto directa como indirecta con la adherencia. Así, percibir un mayor número
de síntomas llevaba a una menor adherencia a los tratamientos farmacológicos pero
además afectaba de forma indirecta a la adherencia a través de su influencia en las
dimensiones de causas y control personal y por tratamiento, de modo que los
pacientes hipertensos que percibían la enfermedad como más sintomática mostraban
puntuaciones más elevadas en la dimensión de causas, especialmente en las de tipo
psicológico, y exhibían una menor adherencia a la medicación prescrita. Por otro lado,
los pacientes hipertensos que percibían un mayor número de síntomas de la
enfermedad expresaban menor confianza en las posibilidades de control personal y
por tratamiento, lo que se traducía en menor adherencia tanto a la medicación
prescrita como a las actividades de autocuidado. Además se observó que
percepciones más negativas de controlabilidad también influían de manera directa en
una menor adherencia a los tratamientos farmacológicos y comportamentales
prescritos.
Hsiao, Chang y Chen (2012) llevaron a cabo un estudio para explorar los modelos
de hipertensión y comprobar si los participantes podrían agruparse de acuerdo con su
modelo de enfermedad en diferentes perfiles generales y si esos perfiles predecían la
adherencia farmacológica. Los resultados mostraron que la hipertensión era percibida
como una enfermedad crónica, con consecuencias negativas, estable, ligada a altas
posibilidades de control por parte del paciente y los tratamientos y escaso impacto
emocional. También encontraron que los participantes se podían agrupar en tres
perfiles diferentes. Los del primero poseían percepciones sobre la hipertensión más
positivas pero una menor percepción de controlabilidad. En el segundo perfil, los
participantes mostraban unas representaciones más negativas pero mayor control
personal. Finalmente, los que formaban parte del tercer perfil mostraban unas
representaciones moderadamente negativas y un control y coherencia percibidas
elevados. En cuanto a la relación entre representaciones de enfermedad y adherencia,
los participantes del cluster con percepciones en general más positivas pero menor
percepción de control manifestaban una mayor adherencia al tratamiento
farmacológico.
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Norfazilah y colaboradores (2013) encontraron que pacientes hipertensos
percibían la hipertensión como escasamente sintomática y bastante estable y
duradera. Consideraron además que la enfermedad tenía un moderado impacto en
sus vidas, aunque se relacionaba con importantes riesgos para la salud. Su
compresión de la enfermedad era de moderada a buena y exhibían moderadas
reacciones emocionales de malestar. En cuanto a las atribuciones causales, los
factores considerados como más relevantes fueron aspectos psicosociales y
relacionados con el estilo de vida.
Bazán y colaboradores (2013) llevaron a cabo un estudio con el objetivo de validar
el Cuestionario de Percepción de Enfermedad Breve con pacientes hipertensos
mejicanos. Los resultados pusieron de manifiesto que la hipertensión era percibida
como escasamente sintomática, con impacto en la vida diaria y crónica. También
indicaron una baja percepción de controlabilidad, especialmente por parte del propio
paciente. Los pacientes hipertensos participantes mostraron una muy baja percepción
de comprensión de la enfermedad y exhibieron reacciones emocionales moderadas.
Con respecto a los factores causales de la enfermedad, indicaron fundamentalmente
aspectos relacionados con el estilo de vida, aunque la herencia también fue
considerada como un agente causal importante.
Rajpura y Nayak (2014) realizaron un estudio con el objetivo de evaluar la
influencia de las percepciones de enfermedad sobre la hipertensión y de la carga
percibida de la enfermedad en la adherencia a la medicación en una muestra de
pacientes hipertensos de edad avanzada. Los resultados pusieron de manifiesto que
puntuaciones más elevadas en el B-IPQ unidas a una mayor carga de enfermedad
percibida se relacionaban con una mejor adherencia. Por otro lado, mayores
percepciones de amenazas para la salud de la hipertensión así como creencias más
fuertes sobre la necesidad de la medicación contribuían sustancialmente a una
adherencia positiva, mientras que un mayor número de preocupaciones específicas
sobre la medicación se asociaban también con una mejor adherencia a la medicación.
Las causas de la hipertensión más señaladas por los participantes fueron el estrés, el
estilo de vida y la herencia.
Pickett y colaboradores (2014) examinaron la relación entre las creencias de
hipertensión y los comportamientos de autocuidado (hábitos saludables incluyendo
dieta, actividad física, manejo del estrés, control del peso, consumo de tabaco y
alcohol, adherencia a la medicación y cumplimiento de las citas médicas) necesarios
para el adecuado control de la PA en una muestra de pacientes hipertensos
afroamericanos. También se incluyeron datos sociodemográficos tales como género,
edad, años de educación y tiempo diagnosticados de hipertensión. Los participantes
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consideraban como causa más importante de su problema los factores externos que
provocaban estrés, y dicha atribución se relacionaba negativamente con la asistencia
a las citas médicas. La creencia de que la hipertensión es una enfermedad crónica se
relacionaba positivamente con conductas de autocuidado que incluían la asistencia a
las citas médicas y la adherencia a la medicación. La mayoría de los participantes se
adscribían a un modelo de hipertensión basado en el estrés (i.e., la enfermedad es
causada por factores estresantes como el estado emocional, la actitud mental o
problemas familiares o por factores externos como la polución, gérmenes o virus). Los
participantes pensaban que poseían una comprensión relativamente buena de lo que
significa la hipertensión y mostraban unas elevadas percepciones de control personal
y por tratamiento, así como creencias moderadas en cuanto a la cronicidad, ciclicidad
y consecuencias de la hipertensión en sus vidas.
Se encontró asimismo que los factores sociodemográficos se asociaban con las
creencias sobre la hipertensión así como con las conductas de autocuidado. Los
participantes con un diagnóstico de hipertensión de más de cinco años era más
probable que pensaran que la hipertensión era crónica, mientras que aquéllos que
tenían un nivel de ingresos más bajo era más probable que incrementaran su consumo
de alcohol y tabaco. Por otro lado, las mujeres atribuían la hipertensión más al estrés,
mientras que los hombres pensaban más frecuentemente que estaba causada por la
suerte o por factores de riesgo como el consumo de alcohol y tabaco. Los
participantes con un menor nivel educativo pensaban en mayor medida que la
hipertensión era causada por gérmenes y por el tabaco.
En relación a las representaciones cognitivas y emocionales que sobre la
hipertensión posee la población hipertensa española, a nuestro conocimiento sólo un
estudio ha abordado esta cuestión utilizando el SRM como base teórica. Así,
Beléndez, Bermejo y García-Ayala (2005) desarrollaron una investigación que tenía
como objetivo analizar la estructura factorial y la fiabilidad de la versión española del
IPQ-R. Sus resultados con respecto a las representaciones que sobre la hipertensión
poseía la muestra pusieron de manifiesto que esta enfermedad era percibida por los
pacientes como crónica, controlable tanto por parte del propio paciente como a través
de los tratamientos existentes, con un curso estable y un bajo impacto emocional. Los
participantes también mostraron una percepción bastante coherente de su
comprensión de la enfermedad. Como causas más importantes de la hipertensión
fueron señaladas las preocupaciones familiares, el estrés, la herencia, la personalidad
y los hábitos de alimentación. Los resultados mostraron también diferencias
relacionadas con variables sociodemográficas, en concreto con el sexo y la edad. En
relación a la primera, se encontraron diferencias para la dimensión de causas. Así, los
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hombres consideraban que era más probable que la hipertensión fuera provocada por
la alimentación y el consumo de tabaco, mientras que las mujeres realizaban más
atribuciones causales a aspectos psicológicos. En cuanto a la influencia de la edad, se
hallaron diferencias para las dimensiones de identidad y causas. Los participantes más
jóvenes percibían la enfermedad como más sintomática y aquellos de mayor edad
otorgaban un menor peso a factores psicológicos y relacionados con el estrés en la
génesis de la hipertensión.
5.2.2. Investigaciones realizadas en población general sana
El número de estudios sobre representaciones de la hipertensión en población que no
padece ni ha padecido la enfermedad se va a ver reducido de manera drástica y, a
nuestro conocimiento, sólo dos estudios se han dirigido a explorar estos aspectos
utilizando el SRM como base teórica. El primero de ellos es del de Meyer de 1985 ya
comentado en el apartado anterior debido a que incluía también a pacientes
hipertensos, mientras que el segundo es realizado por Godoy-Izquierdo, López-
Chicheri et al. (2007) para conocer los modelos personales sobre la hipertensión en
una muestra de adultos jóvenes españoles utilizando como instrumento de evaluación
la versión española del Cuestionario de Modelos Implícitos de Enfermedad de Turk,
Rudy y Salovey (1986). Los resultados obtenidos mostraron que la hipertensión era
percibida por la mayoría de los participantes como una enfermedad escasamente
sintomática, severa y con impacto para la vida de los pacientes, de larga duración pero
no necesariamente permanente y moderadamente cambiante. Con respecto a las
posibilidades de control, era percibida como altamente controlable tanto por el
paciente como por los tratamientos existentes y prevenible. En relación a los factores
causales, los participantes consideraron como causas fundamentales el estrés, el
propio comportamiento o la falta de descanso.
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PARTE II:
OBJETIVOS E HIPÓTESIS
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101
CAPÍTULO 6
Objetivo general, objetivos específicos
e hipótesis específicas
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103
El objetivo general de esta Tesis Doctoral es comprobar los postulados básicos del
SRM en la población general sana, la cual ha sido objeto de menor atención por parte
de la investigación en este ámbito que la población enferma, los supervivientes a la
enfermedad o poblaciones en riesgo.
El primero de los postulados del SRM a explorar se refiere al modo en que la
población general (española) construye sus representaciones de enfermedad y el
grado de ajuste de éstas al conocimiento médico-objetivo. También será explorada la
influencia de variables de carácter sociodemográfico en las representaciones de
enfermedad, así como de la experiencia con la enfermedad, en concreto la experiencia
familiar (i.e., tener o haber tenido un familiar diagnosticado con dicha enfermedad).
El segundo de los postulados nucleares del SRM a estudiar se refiere a la relación
entre las diferentes dimensiones que forman las creencias sobre la enfermedad, tal y
como proponen sus autores, particularmente entre las dimensiones cognitivas y
emocionales, y el posible valor predictivo de las primeras sobre las segundas, algo aún
no completamente explorado en la literatura.
La tercera de las propuestas del SRM que se pretende comprobar con población
general sana se refiere a la relación existente entre las percepciones sobre la
enfermedad y las variables conductuales de respuesta ante ésta, en este caso las
respuestas de carácter preventivo de afrontamiento del riesgo.
Para ello se llevarán a cabo cinco estudios de carácter transversal. Los dos
primeros estudios se llevarán a cabo con personas que no padecen ni han padecido
cáncer, mientras que los tres últimos estudios se desarrollarán con personas que no
padecen ni han padecido hipertensión.
En el estudio 1, el objetivo principal será explorar los modelos personales de
enfermedad sobre el cáncer y su proximidad al conocimiento médico-objetivo en
población española que no padece ni ha padecido esta enfermedad pero que tienen
distinto grado de experiencia familiar con la misma por convivir o haber convivido o no
con personas que padecen o han padecido cáncer. El segundo objetivo de este
estudio es comprobar la posible influencia de esa experiencia con el cáncer y de otras
variables de carácter sociodemográfico como la edad, el género o el nivel educativo en
las creencias de enfermedad sobre el cáncer en población sana. Esperamos encontrar
que las representaciones sobre el cáncer de los participantes reflejen tanto el
conocimiento biomédico existente como creencias laicas o populares sobre esta
enfermedad. Además, esperamos que las variables sociodemográficas tengan un
impacto limitado sobre los contenidos de dichas representaciones, en tanto que la
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experiencia de haber convivido con alguien diagnosticado de cáncer ejercerá una
influencia más importante sobre las creencias sobre esta enfermedad. En concreto,
esperamos que los participantes que han tenido la experiencia de convivir con una
persona diagnosticada con esta enfermedad tendrán representaciones del cáncer
menos positivas, indicando mayor severidad e impacto de la enfermedad, en
comparación con las personas que no han tenido esta experiencia familiar.
El estudio 2 se centrará en demostrar las relaciones propuestas por el SRM entre
las diferentes dimensiones de los modelos de enfermedad. De manera especial, se
explorará la relación entre las dimensiones cognitivas y emocionales que conforman
las representaciones no especializadas que construimos, en este caso sobre el
cáncer. En este sentido, se tratará de explorar el valor predictivo que los aspectos
cognitivos pueden tener sobre los aspectos emocionales, es decir sobre el malestar
emocional asociado a la posibilidad de sufrir cáncer en personas que no padecen la
enfermedad ni la han padecido en el pasado. Ésta es una cuestión prácticamente
ignorada en la investigación al respecto, pese a su relevancia. Asimismo, tampoco se
conoce la posible influencia de las variables sociodemográficas y de la experiencia con
la enfermedad en esta relación, aspecto que también pretendemos explorar.
Esperamos encontrar asociaciones robustas entre las dimensiones cognitivas y
emocionales de las representaciones de la enfermedad, así como que las primeras
predicen las reacciones emocionales al cáncer. También esperamos encontrar que las
personas con experiencia familiar muestren mayores niveles de malestar emocional
relacionado con la enfermedad, debido a sus creencias más negativas del cáncer,
mientras que la influencia esperada de las variables sociodemográficas será mucho
menor.
El estudio 3 irá dirigido a explorar las representaciones que sobre la hipertensión
poseen personas sanas que no padecen ni han padecido la enfermedad pero que
tienen distinta experiencia familiar con la misma, así como el grado en que dichas
representaciones se ajustan al conocimiento médico objetivo. Además, se explorará la
influencia de variables sociodemográficas como el sexo, la edad y el nivel educativo
así como de la experiencia derivada de convivir o haber convivido con una persona
hipertensa en las diferentes dimensiones que conforman, de acuerdo con el SRM, las
representaciones de enfermedad. Hipotetizamos que los participantes tendrán
representaciones que, como esperábamos en el caso del cáncer, mezclarán
conocimiento biomédico y creencias laicas y populares. Esperamos encontrar que las
variables sociodemográficas tendrán una influencia limitada en los contenidos de las
representaciones sobre esta enfermedad, mientras que hipotetizamos que tener
experiencia con la enfermedad tendrá un impacto más notable. En concreto,
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esperamos que los participantes que han tenido la experiencia de convivir con una
persona diagnosticada con esta enfermedad tendrán representaciones de la
hipertensión menos positivas, indicando mayor severidad e impacto de la enfermedad,
en comparación con las personas que no han tenido esta experiencia familiar.
El estudio 4 está a su vez compuesto de dos estudios distintos pero relacionados.
El principal objetivo del primero de ellos será replicar con una muestra más amplia y
heterogénea los hallazgos del estudio anterior, tanto en relación con las
representaciones de la enfermedad como con la influencia de las variables
sociodemográficas y la experiencia con la enfermedad. En cuanto al objetivo del
segundo de los estudios, será explorar las relaciones entre las percepciones sobre la
hipertensión, en concreto, las dimensiones cognitivas y emocionales que conforman
las representaciones acerca de la enfermedad, las percepciones del riesgo asociado a
padecer esta enfermedad y la percepción y práctica de conductas de carácter
preventivo en la vida cotidiana para evitar la aparición de la hipertensión. Este objetivo
persigue, por tanto, explorar otra de las premisas básicas del SRM, es decir, que
existe una relación directa entre las representaciones de la enfermedad y los
comportamientos relacionadas con el manejo de la misma, cuestión que no ha sido
explorada hasta la fecha en el caso de la hipertensión en personas que no padecen la
enfermedad. Esperamos confirmar dicha relación. En concreto, esperamos que
representaciones de la enfermedad más negativas se asociarán a percepciones más
fuertes de la hipertensión como un factor de riesgo en sí misma para otros problemas
de salud, y esto a su vez se asociará con percepciones más positivas de alternativas
de acción y la adopción de conductas preventivas.
Finalmente, en el estudio 5 el objetivo será comprobar si individuos de la
población general española podrían dividirse en diferentes perfiles psicosociales
multidimensionales en relación a sus modelos de enfermedad o esquemas globales
acerca de la hipertensión y considerando también otras variables relevantes como la
percepción de riesgos asociados a padecer esta enfermedad o la eficacia percibida de
posibles conductas preventivas. En segundo lugar, se tratará de comprobar si cada
uno de estos perfiles o agrupaciones de percepciones sobre la hipertensión se asocian
a diferentes niveles de actuaciones de prevención de la misma. Como el estudio
anterior, este estudio pretende explorar la relación estrecha postulada en el SRM entre
percepciones de la enfermedad y conducta. De nuevo, estas cuestiones no han sido
exploradas hasta la fecha en población no paciente en el caso de la hipertensión.
Esperamos encontrar diferentes perfiles de representaciones de la enfermedad,
constituidos cada uno por una configuración particular de percepciones relacionadas
con la hipertensión, así como que cada agrupación o perfil se asocie de forma
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diferente con la realización de conductas preventivas en la vida cotidiana. Más
concretamente, esperamos que las configuraciones con percepciones más negativas
pero con mayor sentido de controlabilidad se asociarán a una mayor práctica de
conductas preventivas en comparación con configuraciones más benevolentes sobre
la enfermedad.
Estos objetivos concretos que se pretenden cubrir a través de los diferentes
estudios que conforman esta Tesis Doctoral, poseen un marcado carácter aplicado, ya
que cada uno de estos cinco estudios pretende contribuir de forma significativa a
incrementar el conocimiento sobre la percepción de la enfermedad que poseen las
personas sanas y su influencia en su comportamiento relacionado con la salud, de
modo que sea posible realizar propuestas y orientaciones para el desarrollo de
intervenciones futuras que favorezcan una percepción ajustada y realista de ambas
enfermedades y contribuyan a la prevención primaria de las mismas, colaborando de
este modo a disminuir la incidencia y prevalencia y el impacto en la salud pública del
cáncer y la hipertensión y a mejorar la calidad de vida y el bienestar de las poblaciones
a las que vayan dirigidas.
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PARTE III:
ESTUDIOS EMPÍRICOS
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109
CAPÍTULO 7
ESTUDIO 1 Illness beliefs about cancer among healthy adults who have
and have not lived with cancer patients
Publicado como:
Del Castillo, A., Godoy-Izquierdo, D., Vázquez, M.L. & Godoy, J.F. (2011).
Illness beliefs about cancer among healthy adults who have and
have not lived with cancer patients.
International Journal of Behavioural Medicine, 18, 342-351.
[Índice de impacto de la revista en 2011: 2.625
Fuente: Journal Citation Reports JCR Social Sciences Edition
1ª Mediana en categoría PSYCHOLOGY, CLINICAL, Posición: 24/110]
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111
Abstract
Background: Illness representations have been proposed as key determinants for
facing health risks and managing disease, and consequently for health outcomes.
Purpose: To know and compare non-specialised illness representations of cancer
among adults who had not suffered from cancer and who had/had not lived with cancer
patients.
Method: The revised Illness Perception Questionnaire was adapted to assess
illness perceptions among healthy people. Cancer representations were explored in a
community-based sample of adults of both genders from different educational
backgrounds and who had differing experience with cancer, none being a patient.
Results: The participants’ beliefs about cancer included both biomedical and folk
knowledge. Compared to age, sex and educational level, family experience with cancer
(having lived or not with a patient) had the strongest impact on the contents of the
representations on cancer. Further, people with a family experience with the disease,
compared to those not having a relative diagnosed with cancer, reported significantly
more symptoms and stronger emotional impact.
Conclusions: This study allowed us to establish the perceptions on cancer of non-
patients with no specialised knowledge. Findings may help in designing and
implementing tailored preventive interventions taking into account family experience
with the disease, as well as interventions aimed at enhancing family and social care
and support given to cancer patients.
Keywords: illness representations, IPQ-R, psycho-oncology, non-patients,
prevention, social support
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Introduction
The way people perceive health and disease and its relationship with an
individual’s health and disease-related behaviours has received increased attention.
Understanding these issues is important in designing and implementing effective
interventions in health promotion, disease prevention, treatment and rehabilitation,
treatment adherence management, patient education and family counselling. The most
empirically supported theoretical model regarding lay cognitions about disease is the
Self-Regulation Model of Common Sense Illness Representations (SRM) (1,2). It has
been applied to differing physical and mental illnesses, both among patients and non-
patients (see 3-6 for a review). Figure 1 displays graphically the SRM proposals.
Figure 1: SRM main features and proposals.
Sociodemographic variables such as gender, age or educational level are not
usually found to have significant impact on illness beliefs (7-10), although a number of
differences have been reported (11-13). However, to have suffered from the disease or
to have had an ill relative has been consistently found to be a relevant contributor to
illness perceptions (e.g., 3,7-9,14-24). On the other hand, to know the illness beliefs
held by healthy people would allow us to understand how a particular illness or health-
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threatening condition is perceived prior to a possible personal or family experience with
the disease. It would also help us understand how these representations are changed
by the illness experience, how they relate to specific coping behaviours, adjustment
and health outcomes with and without personal or family experience, and how this
information can be used to derive interventions aimed at modifying illness beliefs in
both patients and non-patients. Furthermore, such knowledge would allow us to inform
appropriate preventive and therapeutic interventions. Nonetheless, there are few
studies conducted to determine how healthy individuals perceive illnesses, and how
their beliefs influence health- and disease-related behaviours (9,10,12,13,18-20,24-27).
Research conducted with cancer patients, survivors and at-risk populations
(8,11,15,16,22,28) has pointed out that mixed biomedical and folk information is
included in their representations about cancer (29). Research about cancer beliefs
among non-specialised, healthy individuals is scarce, and the findings are varied and
inconclusive (8,14-16,21,22,28,30,31). When the beliefs about cancer of healthy
participants are compared to those of patients or possible future patients, patients and
at-risk people have been found to hold a more coherent understanding that is closer to
medical knowledge (28), while non-patients hold an overestimated and more
unfavourable perception of the disease with more inaccurate beliefs, misconceptions,
negative conceptualisations and unrealistic expectations (8). It has been affirmed that
healthy people’s perceptions are not an accurate representation of patient experiences
(15). However, some authors (28,30) have found that non-patients perceive cancer as
a less threatening, distressing and negatively impacting condition as compared to
patients.
It has been proposed that direct experience with cancer, i.e., suffering from it, may
lead patients to have more positive and realistic perceptions of cancer (8). On the
contrary, personal experience shaped by exposure, caring for ill relatives and
witnessing the consequences of cancer in the family may help to create inaccurate or
more negative cancer perceptions, or to less effectively perceive one’s own risk and
cope with it (22,32,33). Only two studies conducted with healthy people took into
consideration a family history of cancer for comparison purposes (14,22). Having a
family history of cancer has been found to be linked to stronger causal attributions (22).
Godoy-Izquierdo et al. (14) explored some SRM’s dimensions in healthy people with
and without a relative suffering from cancer and found that family experience of a
disease lead to more positive representations on the identity, duration and evolution,
consequences and personal and external controllability on the disease.
Thus, the present study was conducted to compare illness representations of
cancer among Spanish adults who never had cancer but who had a different family
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experience with that disease, i.e., the experience of living or not with a cancer patient.
With this aim, we used the most widely accepted tool for assessing illness
representations, the Revised Illness Perception Questionnaire (34). We expected that
the participants’ beliefs about cancer would reflect both biomedical and folk knowledge.
Further, we expected that the experience of living with someone diagnosed with cancer
would influence the representations of this disease.
Methods
Participants
One hundred thirty adults (50% women) 18 to 66 years old (M= 39.98; SD= 13.82)
took part in the study. Table 1 displays their most relevant characteristics. None of the
participants had suffered from cancer at the time of the study, and 32.3% (42
participants) had lived or were living with a relative, independently of kinship, who had
cancer. This convenient, community-based sample was recruited at random from
private households and community settings such as transport stations, work places,
parks, health-care services, academic centres and shopping centres.
Table 1: Socio-demographic data of the sample.
N %
Age ranges
18-25 26-35 36-45 46-55 56-66
27 29 23 28 23
20.77 22.31 17.69 21.54 17.69
Educational level (highest completed level)
No formal education 8 6.2 Primary school 26 20 Secondary school 41 31.5 Vocational training and other formal education
12 9.2
University 43 33.1
Work status
Student 16 12.3 Employed 76 58.5 Student & Employed 6 4.6 Housework 23 17.7 Unemployed 9 6.9
Marital status
Single 24 18.5 Short-term relationship (< 3 years) 32 24.6 Long-term relationship (> 3 years) 62 47.7 Separated/Divorced 9 6.9 Widow 3 2.3
Physical or mental disease at the time of the study
Yes 24 18.5 No 106 81.5
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Measures
The participants completed a Spanish-modified version of the Revised Illness
Perception Questionnaire (IPQ-R) by Moss-Morris et al. (34). It was adapted to assess
illness perceptions among healthy people. The IPQ-R evaluates nine dimensions from
Leventhal and colleagues’ SRM model and from additional research findings (34)
(Table 2). For all the dimensions except identity and causes, partial scores were
obtained as the mean of the scores for the items on each subscale (considering direct
and inverse items, see Table 2), with higher scores indicating stronger beliefs about
disease chronicity, cyclical course, impact and outcomes, personal influence, cure
possibilities, perceived understanding and emotional reactions to the disease. Identity
was assessed by asking whether a series of symptoms was perceived as characteristic
of the disease. The higher the score, the more symptomatic the disease is perceived to
be. For the cause subscale, those factors scoring the highest in a series of possible
causes are those the person considers to be the most relevant aetiological factors for
the illness.
Following previous suggestions (34), we modified the questionnaire to adapt it to
non-patients and to make it more complete and better fitted to cancer. Therefore, each
reference to “my” illness was substituted by “the” illness or “cancer”. For the identity
subscale, some new symptoms were added, while others were completed or
regrouped. Two new items (#20 and #24 in our tool) were added to assess
complementary beliefs about cure for cancer. Item 21 in our version was rewritten to
assess beliefs about prevention of the disease. Items measuring the emotional
representations dimension also were rewritten to assess emotional distress among
healthy people. Items 22 and 25 were completed. Some causes were completed or
added to the cause subscale. (See all these changes in Table 2).
The psychometric properties of the IPQ-R have been previously demonstrated
among English-speaking and Spanish populations (34,35) and in the context of cancer
( 31,36,37). Internal reliability for the version used herein is displayed in Table 2.
Procedure
Following approval of the institutional research ethics committee, participants were
asked to voluntarily take part and signed an informed consent form. They had been
previously informed that the general objective of the study was to learn their beliefs
about cancer and not to test their level of knowledge, and specific instructions on how
to answer the questionnaire were given. A survey requesting personal and
sociodemographic data was also included, which contained questions about whether
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they had ever suffered from cancer and whether they had ever lived with a relative who
was diagnosed with cancer.
A convenience, community-based sample was constructed. Three housing
buildings and several community settings per district were selected at random by using
a local telephone directory. A person in one out of every three possible households and
one out every three persons in the several public settings considered was asked to
collaborate and followed the above-mentioned procedure when they accepted.
Questionnaires from people suffering or having suffered from cancer were not
considered for the analyses.
Statistical analyses
Guided by preliminary analyses conducted to check data and parametric
assumptions, we decided to run parametric statistical tests. In addition, following recent
recommendations, Cohen’s d coefficient (38) was calculated for estimations of effect
sizes (for equal or different sample sizes).
Results
Non-specialised beliefs about cancer
To establish the contents of illness models for cancer in detail, percentages of
responses for each item were obtained. Table 2 shows the most relevant findings along
with the descriptive results obtained. The score ranges indicate the variability of the
participants’ responses.
Influence of gender, age and educational level on cancer representations
No significant differences were found between men and women. We compared five
age groups and ANOVAs showed significant differences only for the dimensions of
consequences (F=3.386, p<0.05), coherence (F=3.352, p<0.05) and emotional
representations (F=2.571, p<0.05). In the Bonferroni’s post hoc comparisons,
significant differences were detected in the consequences dimension between the 18-
25 and 56-66 yr old groups (p= 0.010; d= -1.03) and between the 46-55 and 56-66 yr
old groups (p= 0.026; d= -0.95), with the older group in both cases showing higher
scores. Differences were also found in the coherence dimension between the 18-25
and 56-66 yr old groups (p= 0.034; d= 0.98) and between the 26-35 and 56-66 yr old
groups (p= 0.033; d= 0.83), with the older group in both cases showing lower scores.
Finally, differences were found in the emotional representations dimension between the
18-25 and 56-66 yr old groups (p= 0.032; d= -0.90), with the older group showing
higher scores. Cohen’s d values for the remaining comparisons were low.
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Table 2: Percentages of agreement responses and descriptive results for each
subscale.
Dimensions %
Identity (0-15a) (perceived symptoms of cancer) M= 9.28; sd= 3.70; R= 0-15
Fatigue, tirednessb Weight loss Weakness, loss of strengthb Pain anywhereb Breathlessness, respiratory problemsb Nausea Feverb Stomach-intestine problemsb Emotional distress, sadness or anxietyb Dizziness, vertigob Stiff joints Sleep difficulties Mobility difficultiesb Tachycardiab Delirium and hallucinationsb
88.5c
87.7 84.6 83.6 69 67.7 66.9 63.1 62.3 59.2 53.1 47.7 46.2 38.5 14.6
Timeline (acute/chronic) (1-5) (This illness…) M= 3.56; sd= 0.62; R= 2-5 alpha= 0.62
3. Will last for a long-time 70.7d
2. Is likely to be permanent rather than temporary 6. Will improve in timee (Item 18 in IPQ-R) 5. Is expected to be for life 4. Will pass quicklye 1. Will last a short timee
43.9 40 23.8 7.7 6.2
Consequences (1-5) (This illness…) M= 4.09; sd= 0.58; R= 2.33-5 alpha= 0.64
7. Is a serious condition 93 d 8. Has major consequences on patient's life 88.5 12. Causes difficulties for the people close to patients 76.2 11. Has serious financial consequences 10.Strongly affects the way others see patients
62.3 35.4
9. Does not have much effect on patient’s lifee 6.2
Personal Control (1-5) M= 3.23; sd= 0.72; R= 1.67-5 alpha= 0.80
17. Patients have the power to influence their illness 59.2d 14. What patients do can determine whether their disease gets better or worse
40.8
13. There is a lot which patients can do to control their symptoms 15. The course of the disease depends on the patient
23.8 21.5
16. Nothing the patient does will affect his/her illnesse 14.6 18. A patient's actions will have no effect on the outcomes of her/his illnesse
13.8
Treatment Control (1-5) M= 3.67; sd= 0.51; R= 1.71-5 alpha= 0.48
22. The treatment can control the disease and its negative effects 25. Some treatment or intervention exists which is effective in curing this disease (medication, therapy, surgery, rehabilitation...) (Item 20 in IPQ-R) 21. The illness can be prevented 20. The treatment effectively relieves the symptoms but does not cure the disease (new) 19. There is very little that can be done to improve when ille 23. There is nothing which can help the patient's conditione 24. This illness goes away or is cured by its owne (new)
69.2d 66.2 53.1 33.9 26.9 8.5 5.4
Illness Coherence (1-5) M= 3.16; sd= 0.91; R= 1.40-5 alpha= 0.84
30. I have a clear picture or understanding of the disease 26. The symptoms of this disease are puzzling to mee 27. The disease is a mystery to mee 28. I don’t understand this illnesse
29. The disease doesn’t make any sense to mee
46.9d 40.8 36.9 33.1 15.4
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Table 2. (Continuation)
Evolution (timeline-cyclical) (1-5) M= 3.29; sd= 0.77; R= 1.25-5 alpha= 0.73
34. The patient goes through cycles in which the disease gets better and worse
67.7d
33. The disease is very unpredictable 59.2 32. The symptoms come and go in cycles 31. The symptoms of this disease change a great deal from day to day
37.6 28.4
Emotional Representations (1-5) M= 3.96; sd= 0.80; R= 1.83-5 alpha= 0.85
35. I get depressed when I think I have or may have this disease 36. When I think on this disease I get upset 40. Thinking on having this disease makes me feel afraid 39. I feel anxious about the idea of having this disease 37. To think on having this illness makes me feel angry 38. I am not worried about this disease or suffering from ite
73.1d
73.1 71.5 68.4 50 9.2
Causes alpha= 0.68
Smoking Pollution, environmental contaminationb Hereditary, geneticb Alcohol consumptionb Ageing Chance, bad luck Diet, eating habits Poor medical care in one’s life Germs or viruses Immunity problemsb One’s own behaviour and habitsb One’s own mental attitude and thinkingsb Stress or worry One’s own emotional state Overwork One’s own personality Accident or injury Family problems or worries Other peopleb (new)
92.3d 74.6 71.5 65.4 50.8 47.3 39.2 37 30 28.7 25.4 22.5 22.3 19.2 10.9 9.2 7.7 7 0.8
Footnotes: Internal reliability of the IPQ-R version used: 0.73 (Identity dimension excluded from
this analysis); Range of possible responses: Identity subscale: 1=Yes, 0=No; Remaining
subscales: 1=”Strongly Disagree”-5=”Strongly agree”. a Minimum and maximum possible score in the subscale in the revised questionnaire used in
this study. b Symptoms/causes added, completed or regrouped categories c Percentage of people answering “Yes” d Percentage of people answering “Agree” plus “Strongly agree” e Reverse-scored item
The impact of educational level on illness representations was evaluated. We found
significant differences only for the dimensions of coherence (F=3.714, p<0.05) and
evolution (F=2.891, p<0.05). The results of the Bonferroni’s post hoc comparisons
showed significant differences in the coherence dimension scores between the groups
with primary and university educational levels (p= 0.002; d= -1.06), with the university-
educated participants scoring higher, and for evolution scores between the groups with
119
primary and university education (p= 0.011; d= 0.82), with the university-educated
participants scoring lower. Cohen’s d values for the remaining comparisons were low.
Influence of family experience with the disease on cancer representations
When we compared the representations of cancer among participants who had
never lived with a person with cancer and those who were currently living with
someone with this disease or who had done so in the past, we found that the
participants with family experience had significantly stronger beliefs in the identity and
emotional representations dimensions, with moderate to high Cohen’s d values (Table
3). The difference was marginally significant for the illness coherence dimension.
Table 3: Comparisons according to experience with the disease.
DIMENSIONS EXPERIENCE
(N=42)
NO
EXPERIENCE
(N=88)
t p d
M SD M SD
Identity 11.19 3.16 8.36 3.60 4.347 0.000** 0.82
Timeline 3.57 0.53 3.56 0.66 0.075 0.940 0.02
Consequences 4.20 0.57 4.03 0.58 1.555 0.123 0.29
Personal control 3.36 0.70 3.17 0.73 1.383 0.169 0.26
Treatment control 3.73 0.35 3.65 0.57 0.930 0.354 0.16
Coherence 3.30 1.02 3.06 0.84 1.774 0.078 0.27
Evolution 3.23 0.86 3.32 0.72 -0.616 0.539 -0.12
Emotional
representations
4.28 0.82 3.81 0.76 3.206 0.002** 0.60
** p< 0.01
Relationship between gender and experience with the disease
Although no significant differences were found between women and men, a
factorial ANOVA was run in order to establish, besides the main effects of family
experience and gender, the interactive effects between both conditions. A global score
120
on the IPQ-R obtained by adding all partial scores with the exception of causes
dimension were used as dependent variable (the higher the global score, the more
robust the beliefs about cancer). Marginally significant effects were found for gender
(F= 3.444, p= 0.066) and no significant effects were found for the interaction of gender
and family experience (F= 0.028, p= 0.867), the main effect for family experience being
significant (F= 26.347, p= 0.000).
Predictors of the illness perceptions on cancer
Finally, in order to establish which factor(s) significantly predicted cancer
representations, we conducted a step-wise multiple regression analysis. We
considered as the outcome variable the total score obtained by adding all the partial
scores, except the causes dimension. Controlling for age, gender and educational
level, which did not explain an independent, significant proportion of the predicted
variable in the first step, family experience was the only significant predictor, explaining
15.9% of IPQ-R total score (corrected R2= 0.159; F= 25.364, p= 0.000). Having a
relative diagnosed with the disease increases a person’s score by 0.407 units
(standardised beta; p= 0.000). The interaction of experience and gender did not
explain, as expected, a significant proportion of the variance in IPQ-R scores.
Discussion
Although the SRM has been applied to different physical and mental illnesses,
there are relatively few studies regarding the non-specialised beliefs that people,
particularly non-patients and the Spanish population, hold about cancer. This study
focused on establishing the illness cognitions on cancer of healthy adults of both
genders with diverse educational backgrounds and family experience with the disease.
In summary, we found that the participants’ beliefs about cancer were a mixture of
medical and folk knowledge. Compared to age, sex and educational level, family
experience with the illness, i.e., having lived with a cancer patient, had the strongest
impact on the representations of cancer.
Knowing these beliefs will help us to understand how a serious but preventable
disease such as cancer is understood by lay healthy people and which beliefs derive
from a direct experience with the disease. Inaccurate or exaggerated perceptions about
cancer may lead to a failure to adhere to appropriate preventive or screening
behaviours, as well as to negative attitudes toward and poorer support to cancer
patients (8,15,16). Tailored psychoeducational interventions based on such findings
can be designed to address which illness representations should be modified and how
121
in order to create more accurate perceptions of the disease that derive in appropriate
preventive and supportive for patients behaviours.
Our descriptive findings on the perceptions that Spanish non-patients hold about
cancer demonstrated that cancer is considered a serious disease, with both high and
broad impact and major consequences for patients, their relatives and caregivers. The
participants considered cancer a highly symptomatic disease with characteristic and
localised physical symptoms accompanied by psychological distress. However, some
of the symptoms the subjects indicated can be consequences of other processes, e.g.,
treatment, instead of a symptom of the illness, e.g., nausea. Cancer was also
perceived as highly unpredictable and changeable with improvements and relapses
over time and as a long-lasting disease, but not necessarily as a chronic or permanent
condition. The participants were probably taking into account either the effectiveness of
pharmacological, surgical or other therapeutic interventions or the mortality associated
to cancer. Unfortunately, this was not specifically dealt with in our study.
Cancer was seen as likely to be cured or alleviated with any of the various existing
therapeutic interventions. The representation of cancer as a curable disease may be
derived not only from the knowledge of current therapeutic advances but also from
information from healthcare institutions, policies’ responsibles and the media, which
often stress the possibility of overcoming this disease. Participants also believed that
patients can influence their illness and symptoms, although cancer was not seen as
completely or exclusively depending on patients’ actions. One in two participants
believed cancer can be prevented. Many perceived causes of cancer are in the
patients’ power, like smoking, alcohol consumption and dietary habits. Nevertheless,
only 25% of participants said a person’s “behaviour” is a significant cause of cancer
when specifically asked. Uncontrollable causes, such as environmental contamination,
heredity or ageing also stood out. Luck or chance was chosen by almost half the
sample as an etiological factor, while a relatively small percentage of participants
chose immunity problems or viruses as the main cause of the disease. This can be
linked to how the disease is treated by healthcare institutions, in the media and in daily
life. When the media and public organisations discuss cancer, personal causes such as
habits are highly stressed as ways to prevent the disease, while obviating
uncontrollable causes. However, given that blame and self-blame are usual when lay
people talk about cancer (11,22,39), we tend to diminish our own influence on the
onset of cancer while recognising the role of other external and biological causes. On
the other hand, due to their impact on patients and family, the symptoms and
consequences of cancer are probably often the focus of daily conversations about
cancer, with discussions on causes being pushed to the side.
122
The participants stated they became emotionally disturbed when thinking about
having cancer, reporting feelings of sadness and fear of suffering from it. Only a minor
percentage of people reported feeling no negative emotions when thinking about
having cancer. These people were likely either keeping in mind the progressive
demystification of cancer as a fatal disease and the new possibilities for a cure, or they
perceive themselves as not vulnerable to the disease.
It is worth mentioning that approximately half the participants considered they hold
a good understanding of cancer. The remaining reported being only partially informed
about cancer and said they lacked a clear overall picture of it. These beliefs may be
reflective of the fact that cancer has been linked to negative and, at times, stereotyped
images, leading to attempts to ignore it due to emotional distress, or they may reflect
the participants’ actual lack of knowledge about the processes, e.g., biological
mechanisms, involved in the development or remission of the disease.
Our results support previous findings regarding both the content and fit of beliefs
with objective medical knowledge and are very similar to those obtained in a Spanish
study (14). In our study, cancer representations were generally accurate but also,
sometimes, based on common sense, cultural beliefs and folk knowledge. Other
researchers have stated that lay illness cognitions diverge sharply from current medical
understanding (8,14,24,28,29). This should be taken into account when designing
psychoeducational interventions aimed to adjust cancer beliefs among non-patients,
patients and relatives.
Gender, age and educational level have not been previously found to be relevant
influences on illness beliefs (7-10), but contradictory findings have been found among
cancer patients (8,11). In short, our findings support that sociodemographic variables
have little influence on the illness models healthy people construct for cancer. On the
contrary, experience with an illness, in terms of suffering from the disease or caring for
a patient, has been proposed by the SRM and found to be an important influence on
how people construct illness representations (e.g., 7-9,14-24,28,30). In our study, after
controlling for sociodemographic variables, personal experience, i.e., living with a
patient, was the only significant predictor of cancer representations. Further, patients'
relatives or caregivers reported a significantly higher number of cancer-related
symptoms and stronger negative feelings of worry, fear or sadness when faced with the
possibility of suffering from cancer, something which may be linked to their daily
experience with the disease and its consequences as well as to the high heritability of
certain types of cancer. Living with a patient probably enables people to have a clearer
comprehension of the disease. Anagnostopoulos and Spanea (8) proposed that more
positive and realistic reappraisals on cancer can be derived from a direct experience
123
with the disease. Nonetheless, such experience may also lead to create some fatalistic
beliefs. Therefore, beliefs must be assessed and adjusted among relatives of patients
to assure positive beliefs and efficacious derived behaviours.
Knowing the illness representations non-patients hold would allow health
professionals to design individually tailored preventive actions. Our findings provide a
basis for new research and interventions aimed at cancer prevention. It is expected
that healthy people avoid risks, seek medical care, undergo medical exams or
screening tests or adopt new healthy behaviours if they construct the disease as
preventable by their efforts. Indeed, it has been proposed that cancer representations
influence how an individual behaves to reduce his or her risk of developing the disease.
Previous research has established a positive relationship between illness perceptions
about cancer among healthy people and their attitudes, intentions and actions
regarding future protective and preventive behaviours (21,31,40). Nonetheless, some
researchers call for special attention to behaviours that are interpreted as “cancer-
detection” rather than “cancer-prevention” actions (15,32). It is expected that more
accurate beliefs will lead non-patients to carry out more appropriate and beneficial
behaviours to face illnesses before a diagnosis is given. Careful, individually focused
revision and discussion of illness beliefs should modify misconceptions and biased,
inappropriate and unrealistic expectations. Moreover, our findings suggest that older
and less-educated people as well as individuals not having a personal experience with
the disease may hold more unrealistic or incorrect beliefs.
Further, social networks can exert an influence not only on the creation of illness
beliefs but also in the pursuit of maintaining and promoting health and preventing and
managing infirmity. The illness representations of patients’ caregivers, family, friends
and other close people can be common-sense misconceptions rather than accurate
beliefs, shaping attitudes and responses to the illness and determining the personal
experiences with the disease. Research has shown that the coping actions carried out
by caregivers and the derived outcomes for caregivers and family members, such as
their own well-being, are impacted by caregivers’ illness beliefs (3,13,19,23,27).
Moreover, illness beliefs of those close to the patient can also have consequences for
patients. Several studies have demonstrated that caregivers’ beliefs are important for
patients’ managing behaviours and illness outcomes (3,9,13,17-19,23,26,27).
Furthermore, the reactions to the patient, the support offered to her or him and the
quality of the relationships between the patient, caregivers and others are determined
to some degree by the illness perceptions of the caregivers and others
(3,9,13,15,19,20,23,25). Therefore, illness representations have relevant repercussions
on people’s responses to individuals who are ill, the quality and quantity of the help and
124
aid they give to patients, their relationship, their adjustment to the situation, their efforts
for coping with the disease and the effects derived from the illness for all of them. It has
been stressed (15,16) that the perceptions held by healthy people are not necessarily
accurate or congruent with those of ill people. Thus, affective and behavioural
responses directed toward ill people may result in inappropriate interpersonal
outcomes and support to patients, including negative attitudes toward patients, social
disapproval and withdrawal, stigmatisation, etc. Moreover, based on differing illness
representations, a lack of fit may exist between patients’ needs for support and the
support offered by others, i.e., health care professionals, relatives, friends and the
community (15,29). Consequently, knowing and improving the accuracy of relatives’
and friends’ illness beliefs will allow health professionals to develop adapted
psychoeducational or counselling interventions for caregivers, family and friends in
order to enhance their coping skills as well as those of patients.
Some limitations of our study should be considered for future research. First, the
number of studies on cancer representations in Spanish samples is scarce. Thus, we
recommend conducting new studies aimed at replicating our results and comparing
findings with citizens from other cultural contexts. Second, it would be advisable to
increase the number of participants. Third, future research should compare the beliefs
of non-patients, caregivers, patients with cancer and people who have suffered from
cancer (survivors). Fourth, actual and perceived social and family support that is both
given to the patient and received by the patient requires further research. Fifth, neither
the type and accuracy of knowledge the participants had nor the sources of said
knowledge were considered, and it would be appropriate to compare the beliefs of
people with specialised knowledge with those held by lay people to establish possible
discrepancies. Sixth, other relevant factors, such as type of cancer, clinical history or
specific family history and kinship should be considered in the future. Further, it would
be interesting to explore how illness perceptions change over time in response to new
influences, such as an individual’s personal and/or family experience with the illness.
Acknowledgements: This research was partially supported with the financial aid
provided to the “Medicina Conductual/Psicología de la Salud” Research Group (CTS-
0267) by the Consejería de Innovación, Ciencia y Empresa, Junta de Andalucía
(Spain). We are grateful to all the participants and assistants who made this study
possible.
125
References
(1) Leventhal H, Leventhal E A, Cameron L. Representations, procedures, and affect in
illness self-regulation: A perceptual-cognitive model. In A Baum, T A Revenson, J E
Singer (dirs.), Handbook of health psychology (pp. 19-48). Lawrence Erlbaum,
Mahwah, NJ: 2001.
(2) Leventhal H, Brissette I, Leventhal E A. The common-sense model of regulation of
health and illness. In L D Cameron, H Leventhal (ed), The self-regulation of health
and illness behaviour (pp. 42-65). London, Routledge: 2003.
(3) Lobban F, Barrowclough C, Jones S. A review of the role of illness models in severe
mental illness. Clinical Psychology Review 2003; 23:171-196.
(4) Hagger M S, Orbell S. A meta-analytic review of the common-sense model of illness
representations. Psychology and Health 2003; 18:141-184.
(5) Petrie K J, Weinman J (dirs.), Perceptions of health and illness. Harwood Academic,
London: 1997.
(6) Kaptein A A, Scharloo M, Helder D I, Kleijn W C, van Korlaar I M, Woertman M.
Representations of chronic illness. In L D Cameron, H Leventhal (eds.), The self-
regulation of health and illness behaviour (pp. 97-118). London: Routledge, 2003.
(7) Lau-Walker M. Relationship between illness representation and self-efficacy.
Journal of Advanced Nursing 2004; 48: 216-225.
(8) Anagnostopoulos F, Spanea E. Assessing illness representations of breast cancer:
Comparison of patients with healthy and benign controls. Journal of Psychosomatic
Research 2005; 58: 327-334.
(9) Heijmans M, de Ridder D, Bensing J. Dissimilarity in patients' and spouses’
representations of chronic illness: Exploration of relations to patient adaptation.
Psychology and Health 1999; 14: 451-466.
(10) Lauber C, Falcato L, Nordt C, Rossler W. Lay beliefs about causes of depression.
Acta Psychiatrica Scandinavica 2003; 108: 96-99.
(11) Lehto R H. Causal attributions in individuals with suspected lung cancer:
Relationships to illness coherence and emotional responses. Journal of the
American Psychiatric Nurses Association 2007; 13: 109-115.
(12) Angermeyer M C, Matschinger H. Lay beliefs about mental disorders: A
comparison between the western and the eastern part of Germany. Social
Psychiatry and Psychiatric Epidemiology 1999; 34: 275-281.
(13) Sterba K R, DeVellis R F. Developing a spouse version of the Illness Perception
Questionnaire-Revised (IPQ-R) for husbands of women with rheumatoid arthritis.
Psychology and Health 2009; 24: 473-487.
126
(14) Godoy-Izquierdo D, López-Chicheri I, López-Torrecillas F, Vélez M, Godoy J F.
Contents of lay illness models dimensions for physical and mental diseases and
implications for health professionals. Patient Education and Counseling 2007; 67:
196-213.
(15) Buick D, Petrie K J. “I know just how you feel”: The validity of healthy women's
perceptions of breast cancer patients receiving treatment. Journal of Applied Social
Psychology 2002; 32: 110-123.
(16) Buick D L. Illness representations and breast cancer: Coping with radiation and
chemotherapy. In K J Petrie, J Weinman (eds.), Perceptions of health and illness.
Amsterdam: Harwood Academic Publishers; 1997: 379-410.
(17) Figueiras, M., Weinman, J. Do similar patient and spouse perceptions of
myocardial infarction predict recovery? Psychology and Health 2003; 18: 201-216.
(18) Weinman J, Petrie K, Sharpe N, Walker S. Causal attributions in patients and
spouses following first-time myocardiac infarction and subsequent lifestyle
changes. British Journal of Health Psychology 2000; 5: 263-273.
(19) Barrowclough C, Lobban F, Hatton C, Quinn J. An investigation of models of illness
in carers of schizophrenia patients using the IPQ. British Journal of Clinical
Psychology 2001; 40: 371-385.
(20) Furnham A, Chan E. Lay theories of schizophrenia. A cross-cultural comparison of
British and Hong Kong Chinese attitudes, attributions and beliefs. Social Psychiatry
and Psychiatric Epidemiology 2004; 39: 543-552.
(21) Sullivan H W, Finney Rutten L J, Hesse B W, Moder R P, Rothman A J, McCaul K
D. Lay representations of cancer prevention and early detection: Associations with
prevention behaviours. Preventing Chronic Disease 2010; 7: 1-11.
(22) Lykins E L B, Graue L O, Brechting E H, Roach A R, Gochett C G, Andrykowski M
A. Beliefs about cancer causation and prevention as a function of personal and
family history of cancer: A national, population-based study. Psycho-Oncology
2008; 17: 967-974.
(23) Weinman J, Heijmans M, Figueiras M. Carer perceptions of chronic illness. In L D
Cameron, H Leventhal (eds.), The self-regulation of health and illness behaviour
(pp. 207-219). London: Routledge, 2003.
(24) Wilson R P, Freeman A, Kazda M J, Andrews T C, Berry L, Vaeth P A C, Victor R
G. Lay beliefs about high blood pressure in a low- to middle-income urban African-
American community: An opportunity for improving hypertension control. The
American Journal of Medicine 2002; 112: 26-30.
127
(25) Angermeyer M C, Matschinger H. Public beliefs about schizophrenia and
depression: Similarities and differences. Social Psychiatry and Psychiatric
Epidemiology 2003; 28: 526-534.
(26) Karademas E C, Zarogiannos A, Karamvakalis N. Cardiac patient-spouse
dissimilarities in illness perception: Associations with patient self-rated health and
coping strategies. Psychology and Health 2010; 25: 451-463.
(27) Kaptein A A, Scharloo M, Helder D I, Snoei I, van Kempen G M J, Weinman J, van
Houwelingen J C, Roos R A C. Quality of life in couples living with Huntington’s
disease: The role of patients’ and partners’ illness perceptions. Quality of Life
Research 2007; 16: 793-801.
(28) Rees G, Fry A, Cull A, Sutton S. Illness perceptions and distress in women at
increased risk of breast cancer. Psychology and Health 2004; 19: 749-765.
(29) Karasz A, McKee M D, Roybal K. Women’s experiences of abnormal cervical
cytology: Illness representations, care processes, and outcomes. Annals of Family
Medicine 2003; 1: 196-202.
(30) Orbell S, O’Sullivan I, Parker R, Steele B, Campbell C, Weller D. Illness
representations and coping following an abnormal colorectal cancer screening
result. Social Science & Medicine 2008; 67: 1465-1474.
(31) Figueiras M J, Alves N C. Lay perceptions of serious illnesses: An adapted version
of the Revised Illness Perception Questionnaire (IPQ-R) for healthy people.
Psychology and Health 2007; 22: 143-158.
(32) Decruyenaere M, Evers-Kiebooms G, Welkenhuysen M, Denayer L, Claes E.
Cognitive representations of breast cancer, emotional distress and preventive
health behaviour: A theoretical perspective. Psycho-Oncology 2000; 9: 528-536.
(33) Rees G, Fry A, Cull A. A family history of breast cancer. Women’s experiences
from a theoretical perspective. Social Science and Medicine 2001; 52: 1433-1440.
(34) Moss-Morris R, Weinman J, Petrie K, Horne R, Cameron L, Buick D. The Revised
Illness Perception Questionnaire (IPQ-R). Psychology and Health 2002; 17: 1-16.
(35) Beléndez R, Bermejo R M, García-Ayala, M D. Estructura factorial de la versión
española del Revised Illness Perception Questionnaire en una muestra de
hipertensos. Psicothema 2005; 17: 318-324.
(36) Giannousi Z, Manaras I, Georgoulias V, Samonis G. Illness perceptions in Greek
patients with cancer: A validation of the Revised-Illness Perception Questionnaire.
Psycho-Oncology 2010; 19: 85-92.
(37) Hagger M S, Orbell S. A confirmatory factor analysis of the revised illness
perception questionnaire (IPQ-R) in a cervical screening context. Psychology and
Health 2005; 20: 161-173.
128
(38) Cohen J. Statistical power analysis for the behavioural sciences. (2nd ed).
Lawrence Erlbaum Associates, Hillsdale, NJ: 1988.
(39) Malcarne V L, Compas B E, Epping-Jordan J E, Howell D C. Cognitive factors in
adjustment to cancer: Attributions of self-blame and perceptions of control. Journal
of Behavioral Medicine 1995; 18: 401-417.
(40) Cameron L D. Illness risk representations and motivations to engage in protective
behavior: The case of skin cancer risk. Psychology and Health 2008; 23: 91-112.
129
CAPÍTULO 8
ESTUDIO 2
Predicting cancer-related emotional distress from cognitive
representations of cancer and causal attributions:
A study with adults not suffering from cancer
with or without family experience with the disease
130
131
Abstract
Emotional reactions to a disease are considered by the Self-Regulation Model
(SRM) as relevant predictors of illness-related behaviours. In spite of the relevance
conceded to the emotional representations of illnesses by the SRM, cancer-related
emotional distress among people with no personal experience with the disease has not
been sufficiently explored to date. However, emotional responses to cancer are strong
among patients, survivors, relatives and carers, and the same is intuitively expected in
the community population. The present study explores this issue along with cognitive
predictors of emotional responses to suffering from cancer among non-sufferer adults
who have or do not have family experience with the disease. Moreover, this aim allows
to test the postulates and predictions of SRM regarding the narrow association
between all dimensions of illness representations. A convenient, community-based
sample of non-sufferers completed the Illness Perception Questionnaire-Revised
version indicating their cognitive and emotional representations of cancer. One third of
the participants had family experience with the disease. Univariate correlation analyses
indicated that emotional representations were associated with beliefs on identity,
duration and consequences and with uncontrollable and immunity causal attributions.
In multivariate hierarchical multiple regression analyses, illness perceptions emerged
as the strongest predictors of cancer-related emotional distress, explaining nearly a
third of variance of participants' emotional representations, whilst contributions of family
experience and age were significant although more modest. Participants who
perceived cancer as a severe illness due to its numerous symptoms and negative
influences in patients' health and life, and who held perceptions of a shorter duration of
the disease, as well as were more likely to endorse external causes to cancer
(marginal effect), reported stronger cancer-related emotional distress when thinking on
suffering from the disease. Two interaction terms of cognitive illness representations
with the moderators experience with the disease and age also emerged as
independent predictors, indicating that those who had family experience with the
disease and were older, and hold more negative perceptions on cancer, reported
higher emotional reactions to cancer. Findings are discussed in light of the SRM
theoretical premises, confirming the interdependence of illness cognitive and emotional
representations. Practical implications in terms of emotional-arousing health-related
communications for promoting cancer preventive behaviours are also offered.
Keywords: Illness representations, emotional impact, cancer-related distress,
IPQ-R, Self-Regulation, healthy adults
132
Introduction
Emotional distress among cancer patients and their family members
Emotional distress refers to a continuum of psychological symptoms and
complaints varying in severity (Strong et al., 2007). Psychological distress following a
cancer diagnosis is well documented. It is among the most prevalent and impairing
symptoms of cancer patients and includes depression, anxiety, worry, irritability or
overall emotional distress (Miller-Reilly et al., 2013). Strong et al. (2007) found that
22% of cancer outpatients demonstrated clinically significant emotional distress in
terms of anxiety and depression symptoms, with a distribution skewed towards less
distress; while less than 5% of the sample reported no symptoms, 73% indicated some
level of emotional distress below clinical cutoff criterion. Younger age, female gender
and active disease were found to be predictors of higher levels of emotional distress,
whereas cancer type was not related to patients' emotional well-being. Annual
prevalence of major depression or generalized anxiety disorder remains affecting to 1
in 5 patients in the fourth year after cancer diagnosis (Burgess et al., 2005), and
lifetime prevalence of cancer-related posttraumatic stress disorder (PTSD) is rounding
20% for several types of cancers (Andrykowski & Kangas, 2010).
Routine screening of emotional distress among cancer patients has been
encouraged in order to provide them with supportive treatment in psychological
services (Vodermaier, Linden & Siu, 2009). Further, it has been also encouraged to
identify the psychological processes that cause persistent distress so that a targeted
preventive intervention can be provided (Cook et al., 2015). Consequently,
psychosocial therapy has become an integral part of cancer care, and several reviews
and meta-analyses support its efficacy for promoting short- and long-term emotional
well-being and quality of life (QoL) in adult patients with cancer (e.g., Faller et al., 2013;
Galway et al., 2012; Osborn, Demoncada & Feuerstein, 2006; Sheard & Maguire,
1999), particularly among those with pronounced clinical symptoms. More emotionally
distressed individuals are also more likely to participate in cancer support groups
(Cameron et al., 2005; Grande, Myers & Sutton, 2006). It has been stressed that failure
to identify and treat psychological distress among cancer patients increases the risk for
poor QoL and potential disease-related morbidity and mortality (Andersen et al., 2014;
Wagner, Spiegel & Pearman, 2013).
Emotional distress is also prevalent among partners, relatives and carers of
patients with cancer (Hodges, Humphris & Macfarlane, 2005; Pitceathly & Maguire,
2003), with some influences of gender (i.e., female), time since diagnosis (i.e., shorter
time) and disease status (i.e., higher levels of symptoms, advancing and terminal
disease) having stated. Moreover, prevalence rates of clinical cases (Pitceathly &
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Maguire, 2003) and levels of psychological distress (Hodges et al., 2005) are
comparable to those of patients. Thus, besides their caregiving and supportive role to
face the disease, those connected with the patient have also to cope with their own
mood disturbances throughout the illness journey; however, they are comparatively
less likely to seek help or receive specialized attention, even when the efficacy of
interventions is also comparable to those tailored to cancer patients and interventions
bring benefits for both the family member and the patient (e.g., Harding, List,
Epiphaniou & Jones, 2012; Hopkinson, Bown, Okamoto & Addington-Hall, 2012;
Northouse, Willians, Given & McCorkle, 2012).
Furthermore, Strong et al. (2007) stressed that there is limited information about
the risk factors for emotional distress in cancer patients, and this is also true for those
relating the patient. We wonder whether lay cognitive illness representations on cancer
may predispose to cancer-related emotional distress among people who have not
received a diagnosis of cancer (but can be diagnosed in the future throughout the life
course, given the high annual incidence rates, see Ferlay et al., 2013). Previous
findings demonstrate that how the patients perceive their condition and the severity and
impact of symptoms influence their emotional distress during the illness trajectory. For
instance, drawings of their heart by heart attack patients over the recovery period relate
to psychological well-being and functional recovery, including cardiac anxiety and worry
about another myocardial infarction (Broadbent, Ellis, Gamble & Petrie, 2006).
Furthermore, those relatives and carers of cancer patients who take a more negative
view of the patient’s illness and its impact on their lives suffer from higher levels of
psychological distress (Pitceathly & Maguire, 2003).
Illness perceptions and cancer-related emotional distress among non-patients
The Self-Regulation Model of Common Sense Illness Representations (SRM)
(Cameron & Leventhal, 2003; Diefenbach & Leventhal, 1996; Leventhal, Brissette &
Leventhal, 2003; Leventhal & Diefenbach, 1991; Leventhal, Diefenbach & Leventhal,
1992; Leventhal, Leventhal & Cameron, 2001; Leventhal, Leventhal & Contrada, 1998;
Leventhal, Meyer & Nerenz, 1980, Leventhal, Nerenz & Steele, 1984; Leventhal et al.,
1997) provides a comprehensive theoretical framework for predicting emotional
responses to a range of health threats. According to the SRM, people are active
decision-makers and problem solvers and play an agentic role in self-regulation. With
that aim, both healthy and ill people construct non-specialised models about illnesses
which comprise a series of cognitive and emotional representations, in order to create
an integrated and meaningful picture of a health-threatening condition. Leventhal et al.
(1980) theorized that cognitive beliefs and emotional reactions were parallel,
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bidirectionally related representations on the disease, interacting with each other in a
mutually interfering or facilitating manner. Moreover, illness representations evolve
over repeated iterations of the self-regulatory stages (see Del Castillo, Godoy-
Izquierdo, Vázquez & Godoy, 2011, figure 1) and hence, they can change as a function
of internal or external information. Illness representations include several attributes:
identity (the illness label and symptoms), cause (factors responsible for its occurrence),
timeline (short- or long-lasting duration and stable or cyclical course or evolution of the
illness), consequences (expected outcomes on health status, longevity, emotional well-
being or daily functioning), control/cure (personal and treatment control over the
illness), coherence (subjective perception of understanding of the disease) and
emotional reactions to the disease (emotional distress related to suffering from the
disease).
Based on their illness perceptions, individuals self-regulate their behaviour. These
illness representations directly influence individuals' illness-related problem- and
emotion-focused coping actions, conducted for facing perceived risks in order to
protect their health, or to manage their condition when already ill for controlling
disease-derived consequences and recovering well-being. Cognitive mental
representations resulting from cognitive processes activate problem-focused coping
such as seeking information, changing lifestyle or adhering to medical
recommendations for managing the health threat, when the disease is not present or
when it is already developed. Emotional representations resulting from emotional
processes drive emotion-focussed coping to handle emotions related to suffering from,
or thinking in suffering from the disease, such as managing sadness, seeking social
support or denial and avoidance strategies. Indirectly, by a mediation path of coping
actions, illness representations influence the consequences of illnesses (such as QoL,
global functioning or emotional well-being) and the adjustment to the disease (see
French, Cooper & Weinman, 2006; Hagger & Orbell, 2003; Kaptein et al., 2003;
Kucukarslan, 2012; Lobban, Barroclough & Jones, 2003; Mc Sharry, Mc Sharry &
Kendrix, 2011; Petrie & Weinman, 1997; for a review).
Research on cancer-related illness beliefs among non-sufferer individuals,
including relatives and careers of patients or survivors, is sparse and the findings are
inconclusive (e.g., Anagnostopoulos & Spanea, 2005; Buick & Petrie, 2002; Cameron,
2008; De Castro, Aretz, Lawrenz, Bittencourt & Abduch 2013; De Castro, Peuker,
Lawrenz & Figueiras, 2015; Del Castillo et al., 2011; Dempster et al., 2011a,b;
Figueiras & Alves, 2007; Godoy-Izquierdo, López-Chicheri, López-Torrecillas, Vélez &
Godoy, 2007; Graham, Dempster, McCorry, Donelly & Jonnston, 2015; Johansson,
Axelsson, Berndtsson & Brink, 2004; Juth, Cohen, Silver & Sender, 2005; Lykins et al.,
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2008; Orbell et al., 2008; Rees, Fry, Cull & Sutton, 2004; Wang, Miller, Egleston, Hay &
Weinberg, 2010). Table 1 summarizes main findings. In general, representations of
cancer include perceptions of the disease as with low-to-moderate symptom
manifestations, moderate-to-high duration, changeability and consequences, personal
and, particularly, treatment control possibilities, and moderate-to-high illness-related
emotional reactions. Among aetiological factors, those related to external and
uncontrollable causes stand out, followed by lifestyle and behavioural risk factors and,
finally, psychological factors. In general, participants reported a moderate, partial
understanding of the disease. Wang et al. (2010) explored causal attributions for breast
and colorectal cancer among healthy women. They found that, although there were
some differences between both illnesses, around 2/3 of the participants attributed
cancer to external and uncontrollable factors such as heredity, immune functioning,
environmental factors such as pollution and aging and, less frequently, to behavioural
factors such as smoking; the remaining causal factors were indicated by 1/3 or less.
Curiously, 1/3 of the participants indicated that chance/bad luck was a causal factor, a
finding which parallels other results obtained with both patients and non-patients. As
Anagnostopoulos and Spanea (2005) stressed, illness representations of cancer may
comprise inaccurate information, misconceptions or negative conceptualizations of the
disease.
Godoy-Izquierdo et al. (2007) found that Spanish adults from the community (1.2%
had ever suffered from cancer) perceived cancer as a serious disease (95.6% of the
participants) with particular and localizable symptoms, including pain (81.7%), with a
long-lasting (69.2%) and unpredictable evolution (76.7%) with relapses (72.3%) and
with important consequences for the patient (95.1%) which impede him(her) from
developing his(her) daily activities and roles (68.7%). Cancer was also perceived as
controllable by the patients (58.1%) and amenable of a cure (54.7%; medication:
56.1%), although many considered that it is not possible to recover from it and that it is
permanent (35.5%). It was moderately related to one’s own behaviour (27.7%) and less
frequently emotional states (7.6%). Only 35.8% of the sample indicated that it is a
preventable disease. A high percentage of participants attributed its evolution to luck or
chance (34.3%). A detailed inspection of findings indicate that accurate perceptions
based on biomedical knowledge and folk, personal beliefs are mixed and sometimes
very divergent.
With the same Spanish sample of non-sufferers of the present study, Del Castillo
et al. (2011) found also that participants’ beliefs about cancer included both biomedical
and folk knowledge. Cancer was perceived as a highly symptomatic and serious
disease, with severe, broad impact and major consequences for patients, their relatives
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and caregivers. The participants considered cancer a long-lasting disease, but not
necessarily as a chronic or permanent condition disease, with a unpredictable and
changeable course with improvements and relapses. Cancer was also seen as
amenable of a cure with any of the various existing therapeutic interventions, and
patients were seen as able of influencing their condition depending on their own
actions. One in two participants believed that cancer can be prevented. Many
perceived that main causes of cancer were related to lifestyle, although only 25% of
participants said a person’s “behaviour” is a significant cause of cancer when
specifically asked. Uncontrollable causes, such as environmental contamination,
heredity, or ageing also stood out. Luck or chance was chosen by almost half the
sample as an etiological factor, while a relatively small percentage of participants
indicated immunity problems or viruses as the main cause of the disease.
Approximately half the participants considered they hold a good understanding of
cancer; the remaining said they lacked a clear overall picture of it.
Sociodemographic variables such as gender, age and educational level have not
been found as strong correlates of illness beliefs, although some influences have been
stated (Anagnostopoulos & Spanea, 2005; Del Castillo et al., 2011; Lehto, 2007; Wang
et al., 2010). However, having suffered from the disease or having an ill relative
consistently emerge as a relevant contributor to illness representations
(Anagnostopoulos & Spanea, 2005; Buick & Petrie, 2002; Del Castillo et al., 2011;
Dempster et al., 2001b; Godoy-Izquierdo et al., 2007; Juth et al., 2015; Lykins et al.,
2008; Orbell et al., 2008). Del Castillo et al. (2011) found that, compared to other
sociodemographic factors, family experience with cancer (having lived or not with a
patient) had the strongest impact on the contents of the representations on cancer.
Further, they found that people with family experience with the disease, compared to
those not having a relative diagnosed with cancer, reported significantly more
symptoms and stronger emotional impact. However, no evidence of the influence of
family experience with the disease have been obtained for causal attributions (Wang et
al., 2010).
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Table 1. Summary of illness representations on cancer endorsed by non-patients.
Study & measure Sample &
cancer type
Cognitive representations Emotional reactions Identity Duration Evolution Consequences
Personal control
Treatment control
Coherence Causes (factors)
Rees et al. (2004) IPQ-R
Breast cancer, Women
4.98/17 3.19 3.83 3.25 3.62 3.07
Anagnostopoulos & Spanea (2005)
IPQ
Breast cancer, Women
2.68 Duration/
Cure: 2.54 Chance: 3.68 Internal: 2.65
Environmental: 2.11
Figueiras & Alves (2007) IPQ-R
Skin cancer, men & women
6.4/17 3.60 3.07 3.83 3.43 3.60 3.10 Risk/lifestyle: 3.04 Psychological: 2.20 3.34
Orbell et al. (2008) IPQ-Ra
Colorectal cancer, men & women
2.62/10b 3.55 2.94 3.82 4.01 3.26 Biological: 3.13
Psychological: 3.00 Behavioural: 2.88
3.21
Del Castillo et al. (2011)
(for causes, info reported herein)
IPQ-R
All types of cancer, men & women
9.28/15 3.56 3.29 4.09 3.23 3.67 3.16
Uncontrollable: 3.58 Controllable: 3.46
Immunity: 3.14 Chance/accident: 2.67
Psychological: 2.34
3.96
Dempster et al. (2011a) IPQ-R
Oesophageal cancer, carers
3.81 3.04 2.13 2.68 3.34 3.84 Externalized: 3.75 Behavioural: 2.51 Emotional: 2.50
Dempster et al. (2011b) IPQ-R
Oesophageal cancer, carers
3.84
3.06
For survivor: 3.70
For self: 2.11
For survivor:
3.15 For self:
2.68
3.35
For survivor: 3.84
For self: 3.86
Externalized: 3.77 Emotional: 2.50
Behavioural: 2.50
De Castro et al. (2015) IPQ-R
Cervical cancer, women
5.02 3.88 4.19 3.38 General: 3.84 Psychological: 2.07 3.23
Juth et al. (2015) BIPQ
All types of cancer,
parents of young
patients
4.79/10 4.36/10 4.50/10 9.16/10 8.41/10
CONCERN: Caregivers:
8.2/10 Adolescent
patients:4.6/10 Young
patients:6.2/10 Note. When scores are not reported in the corresponding paper as the average for subscales, we calculated it when possible by dividing the mean by the number of items. For all, responses are in a 1-5 point scale (the higher the score, the stronger beliefs), excepting Identity (symptoms reported/number of total symptoms assessed; b reported mean for experienced symptoms in a 0-10 point scale), BIPQ scores (1 item/subscale on a 0-10 point scale) and a 1-6 point scale. Only scores obtained by non-patients are showed.
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Regarding cancer-related emotional distress, few studies have explored emotional
representations of cancer among people not suffering from cancer (see Table 1), which
have been interpreted as the emotional response to the illness in non-patients. Among
healthy individuals, Figueiras and Alves (2007) found that those who perceive a higher
number of symptoms linked to skin cancer, report a more chronic and cyclical timeline
for the disease, perceive more serious consequences linked to cancer and lower
possibilities of personal and treatment control, and have a more coherent illness model
report a stronger emotional representation of the disease. Moreover, emotional
representations emerged as significant predictors of intentions to adopt preventive
behaviours, though they did not predict attitudes towards preventive actions. As the
authors of such study stressed, the importance of emotional representations of a
disease is noticeable since this dimension was the most significantly associated with
nearly all the other dimensions and may be a particularly salient aspect of the way
healthy individuals perceive the nature of serious illness such as skin cancer. This
finding may help in informing behavioural interventions aimed at preventing this illness.
On the other hand, the causal attribution factors were not found to be related to
emotional representation of the illness, a result which is contrary to the relationship
found in different groups of patients (Moss-Morris et al., 2002) but agrees with other
findings for cancer. For example, in the early period following diagnosis of suspected
lung cancer, Lehto (2007) explored the relationship between causal attributions,
factored following Moss-Morris et al. (2002) suggestions, and emotional distress.
Emotional distress was moderately high among the participants and did not change
before and after surgery. None of the causal factors, including psychosocial and
behavioural risk factors, immunity factors and chance, was related to or predicted
emotional distress at either time point (smoking approached significance after surgery).
Orbell et al. (2008) compared illness representations of patients with colorectal
cancer, adenoma and people with no neoplasia after a screening test. Their emotional
representations were, in average, higher for cancer participants (3.5) than for people
with adenoma (3.3) and no lesions (3.2), with significant differences between healthy
participants and cancer patients: Patients with cancer differed from no neoplasia
individuals by reporting their condition as more distressing. Moreover, emotional
representations contributed to the prediction of avoidance coping, which in turn was
associated to participation in a new screening test 2 years later among those
participants who were identified as with adenoma or no cancer in the first screening
test.
In the study by De Castro et al. (2015), women without premalignant cervical
lesions reported a moderate emotional impact of the disease, with no differences found
139
when they were compared to women with premalignant lesions, indicating that both
groups perceived the disease as moderately threatening. No differences were found
either regarding self-care actions, suggesting that emotional distress did not generate
divergences in their behaviour. De Castro et al. (2013) did not found either differences
in emotional representations when healthy women, women with premalignant lesions
and women with cancer were compared.
Juth et al. (2015) examined cancer-related posttraumatic stress symptoms (PTSS)
in dyads of adolescent and young adult cancer patients undergoing treatment and their
caregivers. They found that patients’ and caregivers’ subjective perceptions of illness
severity, a composite of illness perceptions including emotional representations as
cancer-related concern, were not completely congruent with objective severity of the
disease (i.e., medical indicators). Moreover, caregivers reported significantly higher
emotional concern (which was very high) and overall subjective perceptions of illness
severity and cancer-related PTSS than patients (moderate), yet these findings could be
due to age of the participants. Patients' subjective perceptions of illness severity were
linked to patients’ and caregivers’ cancer-related PTSS, while caregivers' perceptions
of illness severity were linked only to their own PTSS. No effects of gender and age
were found. Unfortunately, emotional representations apart from concern were not
explored.
In our previous study, Del Castillo et al. (2011) found that the participants stated
they became emotionally disturbed when thinking about having any type of cancer,
reporting feelings of sadness and fear of suffering from it. Average score in the
emotional distress dimension was very high (see Table 1). Between 68% and 73% of
people indicated they felt anxious, depressed or worried when thinking on the
possibility of suffering from cancer. Only a minor percentage of people (9%) reported
feeling no negative emotions when thinking about having cancer; they were likely either
"keeping in mind the progressive demystification of cancer as a fatal disease and the
new possibilities for a cure, or they perceive themselves as not vulnerable to the
disease" (p. 349). Older people (56-66 yr. old) were found to hold stronger emotional
distress compared to younger participants (18-25 yr. old), with no other differences
found due to age. No other influence of sociodemographic factors was established.
Moreover, participants with family experience with cancer had also significantly
stronger emotional representations than those without experience with the disease.
Aims and hypotheses
In spite of the relevance conceded to emotional representations of illness by the
SRM, cancer-related emotional distress among people not suffering from cancer have
140
not been sufficiently explored to date. Only a few studies have been found, and even
when reported rates of emotional reactions to cancer are comparable, their findings are
inconclusive, particularly regarding the influence of sociodemographic variables (not
explored, excepting Del Castillo et al., 2011) and the role of having experience with the
disease, which has been explored in some of them with contradictory findings, although
there is more evidence supporting its influence (family experience: Del Castillo et al.,
2011; Juth et al., 2015; personal experience: Orbell et al., 2008) compared to that
rejecting it (personal experience: De Castro et al., 2013, 2015). Further, only one study
(Figueiras & Alves, 2007) explored the relationships between cognitive and emotional
dimensions of illness representations. In order to test the postulates and predictions of
the SRM regarding the narrow association between all dimensions of illness
representations, the present study explores cognitive predictors of emotional
responses to suffering from cancer among non-sufferer adults. Based on the findings of
Figueiras and Alves (2007), we expected strong associations between cognitive and
emotional representations of cancer, as well as that perceptions on the severity and
features of cancer will predict emotional responses to the disease. Moreover, given the
influence of experience with the disease in the contents of illness representations,
based on the findings of Del Castillo et al. (2011) and other researchers, we expected
that healthy people with family experience with the disease would report higher levels
of cancer-related emotional distress, while other sociodemographic factors will have no
or little influence.
Methods
Participants
One hundred thirty adults (50% women) 18 to 66 years old (M= 39.98; SD= 13.82)
took part in the study. Table 2 displays their most relevant characteristics. None of the
participants had suffered from cancer at the time of the study, and 32.3% had lived or
were living with a relative, independently of kinship, who had cancer. This convenient,
community-based sample was recruited at random from private households and
community settings such as transport stations, work places, parks, health-care
services, academic centres and shopping centres.
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Table 2. Socio-demographic data of the sample.
% Age ranges 18-25
26-35 36-45 46-55 56-66
20.77 22.31 17.69 21.54 17.69
Educational level (highest completed level)
No formal education 6.2 Primary school 20 Secondary school 31.5 Vocational training and other formal education
9.2
University 33.1 Work status Student 12.3
Employed 58.5 Student & Employed 4.6 Housework 17.7 Unemployed 6.9
Marital status
Single 18.5 Short-term relationship (< 3 years)
24.6
Long-term relationship (> 3 years)
47.7
Separated/Divorced 6.9 Widow 2.3
Current physical or mental disease a
Yes 18.5 No 81.5
a No severe mental diseases or cognitive disabling conditions were indicated.
Measures
The participants completed a modified version of the Revised Illness Perception
Questionnaire (IPQ-R) by Moss-Morris et al. (2002), which was adapted to assess
illness perceptions on cancer among healthy people. The IPQ-R evaluates nine
dimensions from Leventhal and colleagues’ SRM model and from additional research
findings: Identity (symptoms associated with the illness and label); Timeline (duration
and chronicity); Evolution (course and temporal changeability or fluctuation of the
illness and symptoms); Consequences (effects of the illness on an individual’s lifestyle,
health and well-being); Personal Control (personal influence on preventing and
managing the disease); Treatment Control (availability and efficacy of treatments to
manage or cure the disease and its symptoms); Illness Coherence (personal
understanding of the disease); Aetiology or Causes (psychological, behavioural,
biological, chance and external causes of the disease); and, for the first time in illness
representations assessment, Emotional Representations (emotional impact of the
disease). The subscale of emotional representations includes perceptions of anger,
depression, anxiety, worry, being upset and fear related to the illness. Higher scores
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indicate greater concern about the illness and, consequently, stronger emotional
response to illness.
For all of the dimensions except identity and causes, a series of statements (e.g.,
“Thinking on having this disease makes me feel afraid”) are included for which the
person must express his or her level of agreement on a 1-5 point Likert-type scale from
“Strongly disagree” to “Strongly agree”. For all of them, partial scores were obtained as
the mean of the scores for the items on each subscale (considering direct and inverse
items), with higher scores indicating stronger beliefs about disease chronicity, cyclical
course, impact and outcomes, personal influence, cure possibilities, perceived
understanding and emotional reactions to the disease. Identity was assessed by asking
whether a series of 15 symptoms was perceived as characteristic of the disease
(Yes/No). The higher the score, the more symptomatic the disease is perceived to be.
For the cause subscale (19 possible causes, plus a blank question on the three main
causes as perceived by the participant [not considered in the analyses]), those factors
scoring the highest from 1 to 5 are those the person considers to be the most relevant
aetiological factors for the illness.
Following previous suggestions (Moss-Morris et al., 2002), we modified the
questionnaire to adapt it to non-patients and to make it more complete and better fitted
to cancer. Therefore, each reference to “my” illness was substituted by “the” illness or
“cancer”. For the identity subscale, some new symptoms were added, while others
were completed or regrouped. Two new items (#20 and #24) were added to assess
complementary beliefs about cure for cancer. Item 21 was rewritten to assess beliefs
about prevention of the disease. Items measuring the emotional representations
dimension also were rewritten to assess emotional distress among healthy people.
Items 22 and 25 were completed. (See all these changes in De Castillo et al., 2011).
Moreover, following factors detected by Moss-Morris et al. (2002), we grouped causes
perceptions in: a) Psychosocial attributions: Stress or worry, mental attitude (e.g.
thinking about life negatively), family problems or worries, overwork, emotional state
(e.g. feeling down, lonely, anxious, empty), personality; b) Risk Factors: Controllable or
lifestyle factors: Diet or eating habits, poor medical care in the past, one's own
behaviour and habits, smoking, alcohol; Uncontrollable factors: Heredity, ageing; c)
Immunity: Germs or viruses, pollution or environmental contamination, altered
immunity; and d) Accident or chance: Chance or bad luck, accident or injury (in italics,
changes introduced by the authors).
The psychometric properties of the IPQ-R have been previously demonstrated
among English-speaking and Spanish populations (Beléndez, Bermejo & García-Ayala,
2005; Moss-Morris et al., 2002) and in the context of cancer (Figueiras & Alves, 2007;
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Giannousi, Manaras, Georgoulias & Samonis, 2009; Hagger & Orbell, 2005), as well as
with the sample of this study (see Del Castillo et al., 2011).
Procedure
Following approval of the institutional research ethics committee, participants were
invited to voluntarily take part and signed an informed consent form. They had been
previously informed that the general objective of the study was to learn their beliefs
about cancer and not to gauge their level of knowledge, and specific instructions on
how to answer the questionnaire were given. A survey requesting personal and
sociodemographic data was also included, which contained questions about whether
they had ever suffered from cancer and whether they had ever lived with a relative who
was diagnosed with cancer.
A convenience, community-based sample was constructed. Three housing
buildings and several community settings per district were selected at random by using
a local telephone directory of the town of Granada (Spain). A person in one out of
every three possible households and one out every three persons in the several public
settings was asked to participate and followed the above-mentioned procedure when
they accepted. Data from people suffering or having suffered from cancer were
discarded.
Study design and statistical analyses
This is a cross-sectional, correlational study based on self-report data. After
checking parametric assumptions, univariate and multivariate analyses were
conducted. The associations of cancer-related emotional distress with illness
cognitions, age, gender and family experience were examined using univariate
Pearson correlations or categorical analyses. Multivariate hierarchical multiple linear
regression, using the method of stepwise selection, was subsequently applied to
identify independent predictors of emotional distress among the identified correlates.
Results
Descriptive findings have been previously reported (Del Castillo et al., 2011). In the
present research, mean scores ± standard deviations for causal factors groupings were
as follows: Psychological attributions: 2.34±0.80; Controllable risk factor attributions:
3.46±0.48; Uncontrollable risk factor attributions: 3.58±0.83; Immunity attributions:
3.14±0.72; Chance or accident attributions: 2.67±0.80.
Univariate correlational analyses indicated that emotional representations were
associated with identity (r= 0.26, p< 0.01), duration (r= -0.20, p< 0.05) and
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consequences (r= 0.44, p< 0.01) dimensions. They were also correlated with
uncontrollable perceived causes (r= 0.21, p< 0.05) and immunity causes (r= 0.19, p<
0.05). Emotional distress was non-significantly correlated with evolution, perceived
personal control, perceived treatment control and coherence dimensions, as well as
with psychosocial, controllable and chance/accident causal factors (p> 0.05). Scores
on emotional distress dimension were also marginally correlated with family experience
with the disease (λ= 0.063, p= 0.09) and significantly correlated with age (r= 0.24, p<
0.01), but were not correlated with gender (λ= 0.045, p= 0.223) and education level
(Kendall's Tau-b= 0.005, p= 0.937).
In order to explore possible independent predictors of cancer-related emotional
distress among the correlates previously found, multivariate hierarchical multiple linear
regression (MLR) analysis, using the method of stepwise selection, was conducted. In
order to test for possible changes in the predictors by introducing sociodemographic
data, the IPQ-R dimensions of identity, consequences and duration as well as
perceived causes (for maximizing statistical power, a composite score of external
causes including uncontrollable risk factors and immunity factors was calculated as the
average of all the items included in both dimensions, which correlated with emotional
distress at r= 0.27, p< 0.01) were introduced in a first step; experience with the disease
was introduced in a next step; finally, age was introduced in a last step. No control
variables (gender and education level) were introduced in order to adjust for their
effects, given that no other relevant variable was correlated with emotional distress.
Table 3 shows the findings in each model. Illness perceptions emerged as the
strongest predictors of cancer-related emotional distress, explaining nearly a third of
variance of participants' emotional representations, whilst contributions of family
experience and age were significant although more modest. Participants who
perceived cancer as a severe disease due to its numerous symptoms and negative
influences in patients' health and life but do not perceive it as a long-lasting disease,
and who more likely endorsed external causes to cancer (marginally significant), those
who had family experience with the disease and those who were older reported
stronger cancer-related emotional distress when thinking on suffering from the disease.
Furthermore, results indicated that experience with the disease partially explained the
relationship between identity perceptions and emotional representations, while age
partially explained the relationship between identity and causes with emotional
representations.
Thus, the above-mentioned findings pointed to a possible moderation effect of
experience with the disease and age in the relationship between cognitive illness
perceptions and cancer-related emotional distress. In order to test these possible
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indirect effects, we used a moderated regression framework (Aiken & West, 1991) to
test the association between emotional reactions and the interaction of cognitive illness
perceptions with family experience and age. A MLR analysis similar to the previous one
was conducted in which family experience and age were substituted by an interaction
factor for a composite score of cognitive illness perceptions and family experience and
age, separately. Findings are shown in Table 3. Both interaction terms were significant.
Participants with stronger negative illness beliefs who also had a family experience with
the disease, as well as those who were older, were more likely to experience cancer-
related emotional distress when faced with the possibility of suffering from it.
Table 3. Hierarchical multiple linear regression analyses (stepwise procedure). Model Cor.
R2 St.
Error F (df) P Stand.
Beta t p
FIRST ANALYSIS
Consequences Duration External causes Identity
0.314 0.66821 15.660 (4, 124)
0.000 0.430 -0.286 0.171 0.166
5.699 -3.834 2.239 2.142
0.000 0.000 0.027 0.034
Consequences Duration External causes Identity Experiencea
0.327 0.66194 13.438 (5, 123)
0.000 0.419 -0.280 0.154 0.120 -0.144
5.594 -3.789 2.034 1.478 -1.833
0.000 0.000 0.044 0.142 0.069
Consequences Duration External causes Identity Experiencea
Age
0.350 0.65065 12.478 (6, 122)
0.000 0.382 -0.257 0.144 0.143 -0.159 0.171
5.061 -3.500 1.929 1.786 -2.052 2.306
0.000 0.001 0.056 0.077 0.042 0.023
SECOND ANALYSIS
Consequences Duration Identity External causes CIP X Experience CIP X Age
0.350 0.65056 12.484 (6, 122)
0.000 0.392 -0.249 0.158 0.142 -0.169 0.181
5.167 -3.368 1.907 1.885 -2.201 2.204
0.000 0.001 0.059 0.062 0.030 0.029
CIP: Cognitive illness perceptions, a composite score obtained from adding identity,
duration, consequences, perceived uncontrollable risk causal factors and perceived
immunity causal factors. The higher the score, the more negative perceptions. a Family experience with cancer: Yes= 1, No= 2.
Note. Results of the first and second analyses were very similar for the predictors
introduced and consequently only the final model from the second analysis is
displayed.
Discussion
This study explored cancer-related emotional distress among adults not suffering
from cancer as well as cognitive predictors of emotional responses to suffering from
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this disease in order to test the relationship between both dimensions of illness
representations posited by the SRM and to increase knowledge on illness
representations on cancer among non-affected individuals. We found that non-sufferers
experience moderately high emotional distress when faced with the possibility of
having cancer. Moreover, we found support for the postulates of SRM, demonstrating
significant associations between cognitive and emotional representations of cancer as
well as that perceptions on the severity and features of cancer predict emotional
responses to the disease. Furthermore, experience with the disease and age
moderated the relationship of cognitive representations and cancer-related emotional
distress.
We found that participants in our study endorsed high cancer-related emotional
distress. Others have found more moderate levels of emotional reactions. Figueiras
and Alves (2007) found a mean score for emotional representations linked to skin
cancer of 3.3. They also found that illness-related emotional distress of healthy people
was significantly higher for diseases such as AIDS than for skin cancer, while it was
significantly higher for cancer than for diseases such as tuberculosis. Skin cancer may
be perceived by non-affected people as less severe than other types of cancer, and
consequently illness-related emotional distress may be lower for skin cancer compared
to other cancer diagnoses. However, similar levels of emotional reactions to cervical
cancer have been found among healthy women (De Castro et al., 2015) and to
colorectal cancer among healthy adults (Orbell et al., 2008). Nevertheless, in our study
we did not focus on a type of cancer diagnosis but considered cancer in general, and
this may explain higher emotional responses to the illness labelled "cancer".
Among cancer patients with varied diagnoses, Hopman and Rijken (2015) have
found an average emotional distress rounding 2.5. Hoogerwert, Ninaber, Willens and
Kaptein (2012) have also found moderate-to-low emotional reactions to the disease
among lung cancer patients, comparable to those of skin cancer, with a score rounding
5 in a 10-point scale. Cameron et al. (2005) found with newly diagnosed breast cancer
patients also moderately low cancer-related emotional distress, with a score of 2.8.
With long-term breast cancer survivors, participants' emotional representations were
lower, with a mean score of 2.2, pointing to that cancer does not elicit strong emotional
distress at the long-term among people who had overcome the illness (Trask, Pahl &
Begeman, 2008). These findings seem to indicate that patients' emotional
representations are more positive or benevolent that non-patients' ones. Personal,
direct experience with the disease (i.e., suffering from the illness) has been found to
impact robustly cancer-related illness perceptions (Anagnostopoulos & Spanea, 2005;
Buick & Petrie, 2002; Godoy-Izquierdo et al., 2007; Orbell et al., 2008).
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Moreover, with people at risk of colorectal cancer, Orbell et al. (2008) found a
mean score on the emotional representations dimension of 3.2. With women at risk of
ovarian cancer, Lancastle, Brain and Phelps (2011) found an average score of
emotional distress of 3, and with women at risk of cervical cancer, De Castro et al.
(2015) found a score of 3.2. With men at risk of suffering from prostate cancer, Hevey,
Perlt, Thomas, Maher and Chuinneaga (2009) found an average score of 3.5. With
people suspected of suffering from lung cancer, Lehto (2007) found an average score
rounding 3.2 before and after surgery. Van Oostrom et al. (2007) found with individuals
undergoing genetic susceptibility testing for colorectal and breast and ovarian cancer
an average score for emotional representations of their illness of 3.2, with no
differences found for both type of diagnoses. All these findings seem to further indicate
that emotional representations may also vary depending on the time point in the illness
journey. They suggest that not suffering from a disease such as cancer, as well as
confirming vulnerability, are associated to stronger emotional reactions to the disease,
while diagnosis, treatment and post-treatment phases are progressively related to a
decrease of emotional distress, at least in not fatal, advanced and palliative-care
cases, probably due to adaptation processes: Patients may report lower emotional
impact of the disease because they actively engage in efforts to reinterpret and
manage perceived threats (Orbell et al., 2008).
This supposition also agrees with the general favourable evolution of emotional
distress and psychological impairment as time from diagnosis or active treatment
passes found with cancer patients (e.g., Bárez, Blasco, Fernández-Castro & Viladrich,
2009; Lam et al., 2013) and their relatives (e.g., Wellisch, Ormseth & Arechiga, 2015).
Our results also parallel other findings obtained with related measures, such as the
Symptoms Representation Questionnaire. Using this indicator, Donovan, Ward,
Sherwood and Serlin (2008) established that women with active ovarian cancer scored
higher on emotional representations of their symptoms and in general expressed more
serious cognitions about their symptoms than long-term survivors. Our findings may
explain also why community individuals overestimate cancer patients’ emotional
distress (Buick & Petrie, 2002).
However, some findings with patients with breast, colorectal and head and neck
cancer indicate an average score on emotional representations dimension rounding 3.5
(e.g., Gercovich et al., 2012; Llewellyn, Mc Gurk & Weinman, 2007; Orbell et al., 2008;
Scharloo et al., 2005), which contradicts our supposition based on a visual inspection
of previous evidence. Besides, when emotional representations of healthy, at risk and
ill individuals have been compared, contrary findings have been established, with both
no differences found (De Castro et al., 2013, 2015) or even inverse patterns (Orbell et
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al., 2008). Thus, further research is needed to elucidate the impact of personal
experience on the disease on emotional reactions to it.
Besides illness representations regarded with the severity of the illness, we also
explored causal attributions and their relationship with emotional reactions to cancer.
Regarding perceived causes of cancer, our findings indicated that participants
attributed cancer primarily to uncontrollable risk factors such as heredity or ageing and
controllable risk factors such as lifestyle including smoking, diet and other habits.
Immunity attributions were also considered. Chance, bad luck or accident and injury
attributions obtained also a high consideration. Contrarily, psychosocial attributions
including mood, personality or stress were the less frequently indicated. Importance
attributed to these perceived causes is in line with some previous evidence obtained
with non-patients (see Table 1).
Figueiras and Alves (2007) found that perceived causes of skin cancer in a
community sample were regarded primarily with general risk factors including lifestyle
and at a lower rate with psychological factors, with scores obtained by their participants
being very similar (although lower) to scores obtained by the participants in the present
study. Wang et al. (2010) found that healthy women attributed breast and colorectal
cancer mainly to external and uncontrollable factors such as heredity, immune
functioning, environmental factors and aging and, less frequently, to behavioural
factors, although chance was also indicated. Anagnostopoulos and Spanea (2005)
found with healthy women, women with benign breast conditions and patients with
breast cancer higher causal attributions of breast cancer to chance than to
environmental and internal and behavioural factors. Comparatively, healthy women
held weaker beliefs concerning the role of environmental and behavioural factors in
causing breast cancer and expressed greater agreement on the role of chance in the
onset and course of the illness. Among carers of oesophageal cancer survivors,
Dempster et al. (2011a) found also that external factors were more frequently indicated
as causes of such illness, followed by emotional factors and behavioural factors. When
these causal attributions were compared to those of patients, carers were found to
endorse less frequently behavioural causes than patients did (Dempster et al., 2011b).
De Castro et al. (2013) found that women with cervical cancer indicated less
psychosocial causal attributions for cervical cancer than non-affected women, even
when they rated emotional factors and mood as the leading cause of their illness,
whereas non-patients indicated attitude and behaviour. When women with and without
premalignant lesions for cervical cancer were considered (De Castro et al., 2015),
general risk factors were much more frequently indicated as causal factors than
psychological attributions, and no differences were found between booth groups of
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participants. Also in the context of screening for cervical cancer, Orbell, Hagger, Brown
and Tidy (2006) found that sex-immune factors were indicated more frequently,
followed by psychological and behavioural factors. In another study in the context of
screening for colorectal cancer, Orbell et al. (2008), found that participants attributed
their condition mainly to ageing, along with diet/eating habits, chance/bad luck and
stress and worry, with more relevance conceded to biological factors than to
psychological or behavioural factors. In the context of screening for breast and
colorectal cancer, Van Oostrom et al. (2007) found that the participants indicated
heredity much more frequently than chance, ageing, general risk factors and
psychological functioning, although they were at risk of family cancer. With patients
suspected of lung cancer, Lehto (2007) established that the participants reported
general risk factors (including controllable and incontrollable factors), followed by
immune and chance/accident attributions to their illness, while psychosocial factors
were indicated at a lower rate.
However, our findings contrast with other findings obtained with patients. For
instance, Hopman and Rijken (2015) found that cancer patients conceded more
relevance to chance/bad luck factors, followed remotely by immunity and general risk
factors, psychological attributions and accident/injury attributions. Giannousie et al.
(2009) also with cancer patients with several diagnoses under treatment found that
patients attributed their illness mainly to external-immunity factors, followed by
psychological-internal factors and behavioural-lifestyle factors. Constanzo, Lutgendorf
& Roeder (2010) found with breast cancer patients completing treatment that the main
causal attributions were environmental factors, heredity, diet, stress or worry and
ageing, although 1/3 of participants also indicated chance. Wold, Byers, Crane and
Ahnen (2005) found that prostate, colorectal and breast cancer survivors indicated as
main causes of their disease genetic factors, smoking, environmental factors and, in a
lesser extent, psychological factors, overestimating the impact of some aetiological
factors (e.g., pollution) and underestimating the impact of others (e.g., physical
inactivity). When patients with colorectal cancer, individuals at risk and healthy people
were compared (Orbell et al., 2008), healthy people attributed it more frequently to
biological and psychological than to behavioural factors, at risk people indicated more
frequently behavioural factors and patients reported less likely behavioural factors.
We found that uncontrollable aetiological factors were more relevant for cancer-
related emotional representations. Lehto (2007) proposed that identifying multiple
causes including external, uncontrollable and chance factors suggests that although
the participants acknowledge personal factors and behaviours as one cause for cancer,
they may be insulating themselves from taking direct responsibility. Thus, self-blame
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and negative emotional consequences are avoided among patients. The lack of a
meaningful association between causal attributions and negative emotional responses
in her study suggests this possibility. As a consequence, she proposed that
understanding factors that contribute to emotional responses to physical illness, such
as attributing causes for why the life-threatening illness occurred, may be a key area
for the development of focused interventions that may offset negative psychological
outcomes.
Similar conclusions were exposed by Lykins et al. (2008). They found that in
general, a personal history of cancer was not significantly linked to causal attributions;
in contrast, a family history of cancer tended to increase 20-40% on average (for the
factor “having a family history of cancer”, 90%) the likelihood of perceiving cancer as
caused by both controllable-behavioural and uncontrollable-external specific risk
factors. Moreover, an interaction of personal and family experience was observed for
controllable causes: While having family experience with cancer did not influenced
causal attributions among those with a personal history of cancer (i.e., cancer
survivors), for respondents without a personal history of cancer, a family history of
cancer markedly increased the tendency to believe controllable factors increased
cancer risk. In a similar vein than Lehto (2007), the authors argued that "for those with
a personal history of cancer (i.e., cancer survivors), espousing weaker beliefs about
cancer causation, particularly downplaying of the influence of personal choice and
behaviour in cancer causation, may serve a self-protective function (...) While
distancing oneself from personal responsibility for cancer genesis may be anxiety-
reducing and protective for cancer survivors, aligning oneself with controllable factors
may serve a similar anxiety-reducing function for those possessing a family history
(who endorse) strong belief that their family history places them at risk for cancer (...)
Individuals want to maintain the belief that they have effective control over their lives,
which may cause them to attribute cancer to controllable factors that they themselves
can avoid to prevent cancer" (p. 7).
However, our results point that it seems that, among non-patients, perceiving that
cancer is out of one's own control elicits stronger emotional reactions to the disease.
We did not explore specifically the influence of (personal or) family experience with the
disease, but our findings suggest that having family experience with cancer (and older
age) makes attributions to uncontrollable causes less relevant for emotional reactions
to the illness (see Table 3). Whether uncontrollable causes give way to controllable
causes in this scenario is something that future research should explore.
In this study we found that cancer-related emotional distress was associated with
perceptions on the severity of the disease, concretely with representations of
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symptoms (identity), duration (inversely) and consequences of the disease, as well as
with uncontrollable perceived causes such as ageing or heredity and immunity causes
such as environmental agents and altered immunity. Emotional distress was non-
significantly correlated with evolution, perceived personal control, perceived treatment
control and coherence dimensions, as well as with psychosocial, controllable and
chance/accident causal factors. Our findings partly support previous findings by
Figueiras and Alves (2007) with non-patients. With cancer patients, Lancastle et al.
(2011) demonstrated that emotional representations inversely correlated with
coherence and directly with consequences, psychological factors, risk factors, heredity
and aging as causal attributions. Also with patients, Gercovich et al. (2012) found that
emotional representations positively correlated with all of the remaining illness
perceptions dimensions excepting coherence. With women at risk undergoing cervical
screening after an abnormal cervical smear test result, Hagger and Orbell (2005) found
that emotional representations correlated with all other dimensions excepting personal
control. It was positively associated to identity, duration, consequences and causal
attributions, and inversely associated to treatment control and coherence. The authors
stated that they confirmed a theoretically predictable pattern of relationships among
dimensions of representations. However, Figueiras and Alves (2007) found some
contrary findings with healthy individuals, concretely that illness-related emotional
distress was positively associated to beliefs on identity, duration, evolution,
consequences and also coherence and inversely linked to beliefs on personal and
treatment control, whilst no associations were found for psychosocial and risk factor
causal attributions. Consequently, they proposed that the dimensions of the IPQ-R
appeared to show a pattern of logical inter-relationships, some of which were similar to
patterns found in previous studies with patients (Hagger & Orbell, 2003; Moss-Morris et
al., 2002). Moss-Morris et al. (2002) explored illness cognitions and emotional
representations in patients suffering from several chronic diseases (cancer was not
included) and found that illness-related emotional distress was positively associated to
beliefs on duration, evolution and consequences and inversely linked to beliefs on
personal and treatment control and coherence, whilst no associations were found for
identity dimension, a finding which probably is due to the wide range of diseases
included. Emotional representations were further correlated with causal attributions of
psychosocial, risk factor, immunity and chance nature. However, Lehto (2007) could
not also establish any association between emotional representations and causal
attributions with suspected patients.
Furthermore, when cancer-related emotional distress was regressed on significant
correlates, illness perceptions emerged as the strongest predictors, explaining nearly a
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third of variance of participants' emotional representations, whilst contributions of family
experience and age were significant although more modest. Participants who
perceived cancer as a severe disease due to its numerous symptoms and negative
influences in patients' health and life and also perceived it as a short-lasting disease
(and endorsed more uncontrollable causes, marginally significant), those who had
family experience with the disease and those who were older reported stronger cancer-
related emotional distress when thinking on suffering from the disease. Our findings
support the interdependence between illness cognitive and emotional representations
posited in the SRM as theoretical premise. No previous study has been conducted in
the context of cancer for testing this issue and thus, our findings should be considered
as preliminary and need to be replicated in the future.
Contrary to findings on symptoms and consequences, which are in line with
previous findings on associations between emotional and cognitive representations of
cancer already discussed, the finding of an inverse relationship between duration and
emotional representations might be counterintuitive a priori; however, it seems that
participants are considering a possible fatal ending of the condition, and in that case
the shorter the perceived duration of the illness, the greater emotional negative
reactions. With cancer patients, it has been found that cancer is not perceived as a
chronic, long-lasting disease, but patients report that they would either die from the
disease or be cured (Hoogerwert et al., 2012). Other findings with cancer patients
support this hypothesis. For instance, Millar, Purushotham, McLatchie, George and
Murray (2005) explored predictors of emotional distress in women with breast cancer
during a 12-month period after treatment. They found a general reduction in emotional
distress over the 12-month period but also that 25% of patients maintained clinically
significant levels of distress throughout the period. Patients with chronically elevated
distress were characterised by greater perceived symptom impact (identity dimension)
and shorter duration of the disease, both emerging as predictors of emotional well-
being of patients during the follow-up period. The more highly distressed patients were
more fatalistic and perceived a shorter timeline of their illness: the perception of short
illness-duration might imply pessimism about survival (p. 340). Moreover, a mismatch
between illness perceptions among survivors of colorectal cancer and their partners
was found by Johansson et al. (2014) by which partners perceived the illness as a
chronic condition and a permanent life-changing event more frequently than patients
did.
In a subsequent analysis we found that experience with the disease and age
moderated the influences of cancer illness cognitions on cancer-related emotional
distress. Participants who perceived cancer as a more severe, impacting and externally
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caused disease who also had family experience with the disease reported higher levels
of emotional reactions to cancer. A similar pattern was found for older participants. To
our knowledge, previous studies have not addressed possible moderation effects of
experience with the disease or age in the relationship between cognitive and emotional
dimensions of illness representations. Our findings should thus be considered as
preliminary results to guide future research hypotheses. Moreover, evidence exploring
the relationships between experience with the disease and sociodemographic factors
with cancer-related emotional distress among non-affected individuals (and patients) is
lacking, so that our findings must be replicated in future research. This is also needed
given that contradictory findings have been reported for the influence of age, gender or
education level on cancer-related representations (e.g., Anagnostopoulos & Spanea,
2005; Del Castillo et al., 2011; Lehto, 2007; Wang et al., 2010), and although support is
more conclusive on family experience with the disease, there is still a scarcity of
evidence (e.g., Del Castillo et al., 2011; Dempster et al., 2011b; Godoy-Izquierdo et al.,
2007; Juth et al., 2015; Lykins et al., 2008).
Cancer-related emotional distress and the adoption of preventive behaviours
According to the SRM, it is expected that more accurate beliefs will lead non-
patients to carry out more appropriate and beneficial behaviours to face health threats
before a diagnosis is given (Cameron & Leventhal, 2003; Leventhal et al., 1980; 1998;
2003, 2011). It is also expected that healthy people avoid risks, seek information or
medical care, undergo medical exams or screening tests or adopt new healthy
behaviours if they perceive a disease as preventable by their efforts (e.g., Figueiras &
Alves, 2007; Niederdeppe & Gurmankin, 2007; Sullivan et al., 2010). Research
exploring beliefs about an illness and related preventive behaviours is sparse and
conducted mostly with patient and risk populations. Concretely in cancer, some studies
have addressed this issue and support that illness cognitive and emotional
representations powerfully influence preventive efforts among healthy people, at risk
individuals and patients (e.g., Cameron, 2008; Constanzo et al., 2010; Figueiras &
Alves, 2007; Orbell et al., 2006, 2008; Trask et al., 2008), although contradictory
findings have been also reported (De Castro et al., 2015; Hevey et al., 2009).
Consequently, it has been confirmed that illness perceptions guide behaviour in
relation to prevention.
In particular, emotional distress is proposed to encourage preventive behaviours
(Leventhal et al., 2001). Negative emotional reactions are in the first place generated
by specific personal experiences with a health threat, rather than cognitive beliefs or
verbal statements about it (Decruyenaere, Evers-Kiebooms, Welkenhuysen, Denayer &
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Claes, 2000). Illness-related distress has been found to correlate with indicators of
negative affect (Figueiras & Alves, 2007). Probably due to its relationship with worry,
negative mood and fear of suffering from a disease, emotional representations have
been proposed to promote preventive behaviours to face the risk of health threats
(Leventhal et al., 2003). Previous findings are inconclusive regarding the role of
psychological or emotional distress on cancer preventive efforts among healthy
individuals, but in general support it. For instance, Honda, Goodwin and Neugut (2005)
found that community people with higher psychological distress were more likely to
engage in colorectal cancer screening, which was partially moderated by perceptions
of cancer risk. Besides, emotional distress was directly associated to increased
likelihood of risk factors such as smoking, physical inactivity and obesity. Cameron
(2008) found that people who held more negative perceptions on skin cancer and
reported higher worry regarding suffering from it (which was in turn predicted by identity
and timeline-moment perceptions) addressed higher intentions of adopting preventive
behaviours such as skin self-examination, clinical skin examination and sun protection
behaviours. These findings have been replicated when emotional impact has been
assessed through emotional representations dimension of the IPQ-R, as herein, as we
discuss below.
The SRM provides a framework for identifying the contents of health threats
representations and for understanding how these cognitions and associated emotions
motivate protective behaviour (Leventhal et al., 2003). These representations elicit
emotional arousal such as worry or distress, and both representations and emotions
guide decisions to engage in health promoting or disease preventing behaviours.
Supporting this, it has been found that emotional reaction to disease (i.e., event-related
fear, assessed by selected items from the IPQ-R emotional dimension), along with
attributing the health threat to smoking, predicted intentions to quit smoking among
individuals with an acute health event at a emergency service and mediated the
relationship between perceived illness severity (as assessed by selected items from
the IPQ-R) (Boudreaux et al., 2010). Figueiras and Alves (2007) found that emotional
distress was a significant predictor of intentions of adopting preventive actions, along
with sense of coherence and lower psychological causal attributions; duration,
consequences, coherence and lower psychological causal attributions predicted
attitudes to preventive efforts. Orbell et al. (2008) found that emotional representations
contributed to the prediction of avoidance coping style, which in turn was associated to
participation in a new screening test for colorectal cancer 2 years later among those
participants who were identified as with adenoma or no cancer in the first screening
test. However, contradictory findings have been also reported. For example, emotional
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reaction to illness did not predict breast self-examination practices among long-term
breast cancer survivors; however, participants' emotional representations were low
(mean score= 2.2) (Trask et al., 2008). Intentions to attend prostate cancer screening
test among at risk men were not predicted by any illness representation, including
cancer-related emotional distress (Hevey et al., 2009).
Decruyenaere et al. (2000) elaborated a theoretical framework for understanding
the influences of cancer-related emotional distress on preventive behaviours, which
can partly explain these contradictory findings. They proposed that cognitive illness
perceptions including perceived illness severity and vulnerability and causal
attributions, emotional representations including cancer-related distress, and
perceptions of controllability interact in influencing coping actions, i.e., preventive
behaviours. Concretely, they proposed that the health-threatening situation combined
with the cognitive beliefs on it activate illness-related emotional distress. These
emotions promote emotion-focussed coping, which can interfere with (i.e., undermine
efforts for managing the threat) or facilitate problem-focussed coping (i.e., reduce
extreme emotional distress allowing information processing, decision making, etc.).
They stated that this will depend on two conditions: type of behaviour and perceptions
of controllability regarding the threat. In regards to the first, they affirmed that risk
reducing actions (e.g., adopting healthy diet, using sunscreen) are more under control
of cognitive processes than of emotional processes, because health is not threatened
by this behaviour and thus, emotional distress is elicited at low levels; thus, emotional
distress does not interfere with risk reducing actions. Instead, these actions are likely to
be facilitated by emotional distress because of their potential for risk reduction and
control, and thus emotional distress reduction. Emotional responses are, however,
more interfering with disease detection behaviour (e.g., breast self-examination,
genetic testing) because of the potential health threat of symptoms detection, which
may result in increasing emotional distress. This may lead to distress-induced
avoidance of the health behaviour. Thus, a positive linear relationship between
emotional distress and health behaviours is expected when they are risk reducing
actions (i.e., the higher the illness-related distress, the more likely the behaviour will be
adopted), and a curvilinear relationship is expected when they are disease detection
behaviour (i.e., low or high levels of distress, compared to moderate levels, are less
likely to translate in preventive behaviour).
The second ingredient is perceptions of controllability on the health threat: The
higher the perceived control, the more likely the behaviour adoption. They
hypothesised that the level of emotional distress interacts with perceived control, so
that the optimal level of emotional distress may be different for different subjects: the
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optimal level of distress for motivating preventive health actions may be lower for
persons who hold low perceptions of controllability on the disease. People with strong
perceptions of controllability will conduct behaviour changes even in the presence of
high levels of emotional distress.
Decruyenaere et al. (2000) concludes that this facilitating or interfering relationship
between problem- and emotion-focussed actions based on the interaction of illness
cognitions, emotional distress, perceived control and type of preventive behaviour may
explain the inconsistent findings established regarding the relationship between
emotional distress and health-related behaviour.
Fear appeals and gain vs. loss message framing
Recently, a great interest has been devoted to fear-arousing (fear or threat
appeals) and gain-loss message framing in health-related communications and their
relationship with preventive efforts and change of health-risk behaviours. The first of
these issues is partly based on the Protection Motivation Theory (PMT; Rogers, 1975,
1983), which proposes that the level of induced fear arousal influences the adoption of
adaptive responses in a linear way. The premise of PMT is that people are motivated to
protect themselves from physical, psychological and social threats. As posited by the
PMT, protection motivation is the result of both threat appraisal and coping appraisal.
The evaluation of the health threat (perceived vulnerability to the disease and
perceived severity of the illness) and the appraisal of the coping responses (perceived
response efficacy and perceptions of self-efficacy) result in the intention to perform
adaptive responses (protection motivation), or maladaptive responses that place
individuals at health risks. Protection motivation is a mediating variable that activate,
maintains and guides protective health behaviour in order to reduce the fear arousal
induced by the health threat or risk.
Based on this, fear appeals have been broadly used in health research and
interventions. A fear appeal posits the risks of conducting inappropriate behaviours or
not conducting appropriate behaviours, so that some particular dire consequences will
occur. That is, fear appeals rely on a threat to an individual’s well-being that motivates
him or her toward action, e.g., increasing control over a situation or preventing an
unwanted outcome (Williams, 2012). Meta-analyses such as that by White and Allen
(2000) revealed that strong fear appeals produce high levels of perceived severity and
susceptibility and are more persuasive than low or weak fear appeals. Research has
revealed that more effective fear appeals result from a higher fear arousal motivated
from the warning of that if the current behaviour continues, the probability of negative
health consequences is high, followed by recommendations to reduce the negativity,
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i.e., an effective alternative precautionary behaviour that guarantees protection from
the predicted aversive health outcome (White & Allen, 2000; Williams, 2012).
PMT has been used as a framework for predicting and adopting several health
promoting and protecting behaviours and the intention of behavioural change, including
reducing substance (i.e., tobacco, alcohol) use, enhancing exercise, sun protection or
condom use or conducting early illness-detection or screening efforts (Baban &
Craciun, 2007; Ch'ng & Glendon, 2014; Hall, Bishop & Marteau, 2006; McGowan &
Prapavessis, 2010; Pechmann, Zhao, Goldberg & Reibirg, 2003; Plotikoff & Trihn,
2010; Ruiter, Kok, Verplanken & Brug, 2001). Several meta-analyses supports the
efficacy of PMT and its components for predicting and changing intention and
behaviour (de Hoog, Stroebe & de Wit, 2007; Floyd, Prentice-Dunn & Rogers, 2000;
Milne, Sheeran & Orbell, 2000; Sheeran, Harris & Epton, 2014), thus supporting the
efficacy of PMT-guided fear-based messages. Based on meta-analytic procedures
(Baban & Craciun, 2007; Webb & Sheeran, 2006), it has been determined that its
efficacy for predicting intentions and behaviour change is associated to an effect size of
0.69 and 0.46, respectively, being among the most powerful models for generating
behavioural change. However, while it has been found that fear appeals may result in
attitude and behaviour change there is also the risk of inciting inappropriate levels of
fear, instigating maladaptive behaviour in the target group such as denial or defensive
avoidance or motivating the wrong audience (Jones & Owell, 2006; Lewis, Watson, Tay
& White, 2007; White & Allen, 2000).
PMT, thus, has specified some of the important components of fear-arousing
communications. Fear-arousing communications emphasize the negative
consequences of health impairing behaviours to motivate individuals to change these
behaviours. This relates with the issue regarding message framing. The persuasive
impact of fear-arousing messages can be strengthened by taking into account action
framing, given that action framing moderates the effects of fear arousal on
precautionary motivation (Ruiter, Kok, Verplanken & van Eersel, 2003). Concretely, in
their pioneer study on this interaction effect, Ruiter et al. (2003) found that high fear
arousal paired with loss information was found to be more persuasive than high fear
arousal paired with gain information or low fear arousal paired with either gain or loss
information for performing breast self-examination among young women.
According to prospect theory (Kahneman & Tversky, 1979, 1984), individuals are
motivated to act according to their perceptions of the risks associated with the outcome
of performing a given behaviour. People are more risk-seeking when faced with losses
than when faced with gains, because losses are seen as more painful than equivalent
gains are seen as pleasurable. Message framing refers to the strategic emphasis of the
158
benefits of performing a behaviour (i.e., gain-framed messages) or the risks of not
performing a behaviour (i.e., loss-framed messages). Persuasive health education
messages can either stress the positive consequences of performing a healthy
behaviour or the negative consequences of not performing a healthy behaviour. There
is evidence that messages in different action frames may differ in persuasive effects.
It has been hypothesized that loss-framed messages are more effective than gain-
framed messages for persuading health behaviours with high-risk outcomes (e.g.,
illness detection behaviour such as cancer screening). Alternatively, gain-framed
messages are hypothesized to be more effective than loss-framed messages for
persuading behaviours with low-risk outcomes (e.g., promoting and preventive
behaviours such as physical activity). However, evidence do not completely support
this (O'Keefe & Jensen, 2006, 2009). Furthermore, contrary findings have been
reported for diet (Brug, Ruitter & van Assema, 2003), condom use (Earl & Albarracin,
2007) or sun protection (O'Keefe & Wu, 2012). A meta-analysis conducted by
Gallagher and Updegraff (2012) has found that gain-framed messages are more likely
to encourage primary prevention behaviours, whereas no effects of action framing have
been found for secondary prevention behaviours such as illness detection or for
attitudes and intention change. Moreover, health status may also play a role, given that
loss-framed messages seem to be more effective among individuals at high risk (Taber
& Aspinwall, 2015) or already ill (Bassett-Gunter, Latimer-Cheung & Martin-Ginis,
2013).
Affect is gaining prominence in health behaviour research (Janssen, Waters, Van
Osch, Lechner & de Vries, 2014), and there is progressively more evidence supporting
than affective factors may be more strongly related to health-related intentions and
behaviours than cognitive factors. Consequently, future research is needed for
elucidating the efficacy of fear-appeals and gain- vs. loss-framed messages for the
adoption of health promoting or protecting behaviours. Evidence to date suggest that
emphasizing the possible gains of health action rather than the possible losses may
help to reduce strong emotional reactions and to enhance feelings of control,
enhancing the likeliness of behavioural change. It also suggests that moderate-fear
arousing communications might play a relevant role in behavioural change, and that
both loss- and gain-framed message might contribute to health-related actions
implementation; however, the efficacy of the fear-arousing effect of loss-framed
communications is in question. Nevertheless, some recent research indicate that
emotional context may also play a role. For example, naturally-occurring or induced
positive or negative affect increase the persuasiveness of gain-framed and loss-framed
messages, respectively (Yan, Dillar & Shen, 2010). In the context of colorectal cancer
159
screening, Ferrer, Klein, Zajac, Land & Ling (2012) have recently found that emotional
context moderates the relationship between message frame and behavioural
intentions. Contrary to expectations, when action frame is booster affectively, i.e.,
manipulated in order to increase both anticipated and anticipatory emotions associated
with the framed messages by matching the message with a valence-congruent
affective state, gain-framed messages have increased persuasiveness compared to
loss-framed messages, which were more effective when no emotional booster was
introduced. In the context of cancer-related preventive behaviours such as tobacco
cessation and sunscreen use, Janssen et al. (2014) have found that affectively-laden
risk beliefs (i.e., affect linked to likelihood of getting lung/skin cancer if not quitting
smoking or using sunscreen) that cause emotional distress including anticipatory
emotions such as worry and anticipated emotions such as regret predicted intentions
and behaviours more strongly than cognitive risk beliefs. These findings allow us to
identify optimal conditions for using affect-related and gain- and loss-framed
messages.
Decruyenaere et al. (2000) stated that inconsistent findings on the relationship
between emotional distress and health behaviour can be partly due to how emotional
distress is defined and measured (i.e., cancer specific emotional distress is more
strongly associated to behavioural indicators than general distress), and we agree with
this after reviewing the empirical evidence accumulated to date on this issue.
Furthermore, they also argued that the nature of behaviour (i.e., whether it is primarily
aimed with promoting health or to protecting health by reducing disease risk, or it is
aimed with detecting the presence of a disease for early intervention) is important, and
evidence also point at this point. The relationship between cognitive perceptions,
illness-related emotional distress and health behaviour is very complex, and may
include other factors such as perceived control or self-efficacy (Decruyenaere et al.,
2000; Leventhal et al., 1997).
Practical implications
Several practical implications can be derived from our findings. Identifying
unhelpful representations and restructuring them as well as establishing and managing
illness-related emotional distress, particularly among those with previous experience
with cancer such as family experience, may be appropriate interventions to help
individuals to change their health-related behaviours in order to encourage promotion
and protection behaviours such as adopting an active lifestyle or a healthy diet, using
seatbelt, condom or sunscreen or undergoing screening or genetic susceptibility
testing. Moreover, the consideration of how illness cognitions and emotional reactions
160
to the disease are constructed and fed in interdependence may help in designing
adequate and effective communications for health-related behaviours change. We
have confirmed herein the direction of the relationship from cognitive to emotional
representations, but some other findings support that cognitive representations can
also be transformed by emotional impact of the disease, supporting the
interdependence of both dimensions of illness representations. For example, Lehto and
Cimprich (2009) explored the relationship between worry and early formation of
cognitive representations of illness in individuals with suspected lung cancer over the
presurgical and 3-week postsurgical period. They found that higher worry was
significantly related to more threatening perceptions of lung cancer. Furthermore, high
worry was associated with increased threat and negative contents in cognitive
representations of illness over time. Thus, worry may contribute to the formation of
negative cognitive representations of illness that can have a detrimental effect on
behavioural and adaptive outcomes. Finally, early identification of emotional vulnerable
individuals and referral to supportive interventions may reduce future psychological
suffering in the face of a diagnosis of cancer.
Limitations
Despite the contributions of the present study, the findings should be accepted
with caution. Several limitations of the study justify it. First, the number of studies on
cancer illness representations in Spanish samples is scarce, and thus we recommend
conducting new studies aimed at replicating our results and comparing findings from
other cultural contexts. Second, it would be advisable to increase the number and
heterogeneity of participants, ideally constructing a representative sample of the
Spanish population. Third, future research should compare the illness cognitive and
emotional representations of non-patients, caregivers, patients with cancer, individuals
at risk and people who have suffered from cancer (survivors), as well as consider the
illness journey. Fourth, it should be recommendable to include behavioural outcomes,
such as intentions of behaviour change or adoption of new healthy behaviours and to
explore the role of cognitive and emotional cancer representations on behaviour
change. Fifth, other relevant factors, such as type of cancer, specific family history and
kinship or clinical history should be considered in the future. Finally, it would be
interesting to explore how illness perceptions and cancer-related emotional distress
change over time in response to new influences, such as an individual’s personal
and/or family experience with the illness or a focussed intervention, and to establish its
influence on behavioural and emotional outcomes.
161
Acknowledgements: This research was partially supported with the financial aid
provided to the “Psicología de la Salud/Medicina Conductual” Research Group (CTS-
0267) by the Consejería de Innovación, Ciencia y Empresa, Junta de Andalucía
(Spain). We are grateful to all the participants and assistants who made this study
possible.
162
References
Aiken, L.S. & West, S. G. (1991). Multiple Regression: Testing and Interpreting
Interactions. Thousand Oaks, CA: Sage.
Anagnostopoulos, F. & Spanea, E. (2005). Assessing illness representations of breast
cancer: Comparison of patients with healthy and benign controls. Journal of
Psychosomatic Research, 58, 327-334.
Andersen, B.L., De Rubeis, R.J., Berman, B.S., Gruman, G., Champion, V.L., Massie,
M.J. et al. (2014). Screening, assessment, and care of anxiety and depressive
symptoms in adults with cancer: An American Society of Clinical Oncology
Guideline adaptation. Journal of Clinical Oncology, 32, 1605-1619.
Andrykowski, M.A. & Kangas, M. (2010). Posttraumatic stress disorder associated with
cancer diagnosis and treatment. In J. C. Holland, W.S. Breitbart, P.B. Jacobsen,
M.S. Ledemerg, M.J. Loscalzo & R. McCorkle (Eds.), Psycho-oncology (pp. 348–
357). New York, NY: Oxford University Press.
Baban, A. & Craciun, C. (2007). Changing health risk behaviors: A review of theory and
evidence based interventions in health psychology. Journal of Cognitive and
Behavioral Psychotherapies, 7, 45-67.
Barez, M., Blasco, T., Fernandez-Castro, J. & Viladrich, C. (2009). Perceived control
and psychological distress in women with breast cancer: A longitudinal study.
Journal of Behavioral Medicine, 2, 187-96.
Bassett-Gunter, R.L., Latimer-Cheung, A. E. & Martin-Ginis, K.A. (2013). Do you want
the good news or the bad news? Gain- versus loss-framed messages following
health risk information: The effects on leisure time physical activity beliefs and
cognitions. Health Psychology, 32, 1188-1198.
Beléndez, R., Bermejo, R.M. & García-Ayala, M.D. (2005). Estructura factorial de la
versión española del Revised Illness Perception Questionnaire en una muestra de
hipertensos. Psicothema, 17, 318-324.
Boudreaux, E.D., Moon, S., Baumann, B.M., Camargo, C.A., Hea, E.O. & Ziedonis,
D.M. (2010). Intentions to quit smoking: Causal attribution, perceived Illness
severity, and event-related fear during an acute health event. Annals of Behavioral
Medicine, 40, 350-355.
Broadbent, E., Ellis, C.J., Gamble, G. & Petrie, K.J. (2006). Changes in patient
drawings of the heart identify slow recovery after myocardial infarction.
Psychosomatic Medicine, 68, 910-913..
Brug, J., Ruitter, R.A. & van Assema, P. (2003).The (ir)relevance of framing nutrition
education messages. Nutrition and Health, 17, 9-20.
163
Buick, D. & Petrie, K.J. (2002). “I know just how you feel”: The validity of healthy
women's perceptions of breast cancer patients receiving treatment. Journal of
Applied Social Psychology, 32, 110-123.
Burgess, C. Cornelius, V., Love, S., Graham, J., Richards, M. & Ramirez, A. (2005).
Depression and anxiety in women with early breast cancer: Five year
observational cohort study. BMJ: British Medical Journal, 330, 702-705.
Cameron, L.D. (2008). Illness risk representations and motivations to engage in
protective behavior: The case of skin cancer risk. Psychology & Health, 23, 91-
112.
Cameron, L.D., Booth, R.J., Schlatter, M.M., Ziginskas, D., Harman, J.E. & Benson, S.
(2005). Cognitive and affective determinants of decisions to attend a group
psychosocial support program for women with breast cancer. Psychosomatic
Medicine, 67, 584-589.
Cameron, L.D. & Leventhal, H. (2003). The self-regulation of health and illness
behaviour. New York, NY: Routledge.
Ch’ng, J.W. & Glendon, A.I. (2014). Predicting sun protection behaviors using
protection motivation variables. Journal of Behavioural Medicine, 37, 245-256.
Cook, S.A., Salmon, P., Dunn, G., Holcombe, C., Cornford, P. & Fisher, P. (2015). The
association of metacognitive beliefs with emotional distress after diagnosis of
cancer. Health Psychology, 3, 207-215.
Costanzo, E.S., Lutgendorf, S.K. & Roeder, S.L. (2010). Common-sense beliefs about
cancer and health practices among women completing treatment for breast
cancer. Psycho-Oncology, 20, 53-61.
De Castro, E., Aretz, M., Lawrenz, P., Bittencourt, F. & Abduch, S. (2013). Illness
perceptions in Brazilian women with cervical cancer, women with precursory
lesions and healthy women. Psicooncología, 10, 417-423.
De Castro, E., Peuker, A.C., Lawrenz, P. & Figueiras, M.J. (2015). Illness perception,
knowledge and self-care about cervical cancer. Psychology/Psicologia Reflexão e
Crítica, 28, 483-489.
De Hoog, N., Stroebe, W. & de Wit, J.B. (2007). The impact of vulnerability to and
severity of a health risk on processing and acceptance of fear-arousing
communications: A meta-analysis. Review of General Psychology, 11, 258-269.
Decruyenaere, M., Evers-Kiebooms, G., Welkenhuysen, M., Denayer, L. & Claes, E.
(2000). Cognitive representations of breast cancer, emotional distress and
preventive health behaviour: A theoretical perspective. Psycho-Oncology, 9, 528-
536.
164
Del Castillo, A., Godoy-Izquierdo, D., Vázquez, M.L. & Godoy, J.F. (2011). Illness
beliefs about cancer among healthy adults who have and have not lived with
cancer patients. International Journal of Behavioural Medicine, 18, 342-351.
Dempster, M., McCorry, N.K., Brennan, E., Donnelly, M., Murray, L.G. & Johnston, B.T.
(2011a). Psychological distress among family carers of oesophageal cancer
survivors: The role of illness cognitions and coping. Psycho-Oncology, 20, 698-
705.
Dempster, M., McCorry, N.K., Brennan, E., Donnelly, M., Murray, L.G. & Johnston, B.T.
(2011b). Do changes in illness perceptions predict changes in psychological
distress among oesophageal cancer survivors? Journal of Health Psychology, 16,
500-509.
Diefenbach, M.A. & Leventhal, H. (1996). The common-sense model of illness
representations: Theoretical and practical considerations. Journal of Social
Distress and the Homeless, 5, 11-38.
Donovan, H.S., Ward, S., Sherwood, P. & Serlin, R.C. (2008). Evaluation of the
Symptom Representation Questionnaire (SRQ) for assessing cancer-related
symptoms. Journal of Pain and Symptom Management, 35, 242-257.
Earl, A. & Albarracin, D. (2007). Nature, decay, and spiraling of the effects of fear-
inducing arguments and HIV counseling and testing: A meta-analysis of the short-
and long-term outcomes of HIV-prevention interventions. Health Psychology, 26,
496-506.
Faller, H., Schuler, M., Richard, M., Heckl, U., Weis, J. & Küffner, R. (2013). Effects of
psycho-oncologic interventions on emotional distress and quality of life in adult
patients with cancer: Systematic review and meta-analysis. Journal of Clinical
Psychology, 31, 782-793.
Ferlay, J., Steliarova-Foucher, E., Lortet-Tieulent, J., Rosso, S., Coebergh, J.W.,
Comber, H. et al. (2013). Cancer incidence and mortality patterns in Europe:
Estimates for 40 countries in 2012. European Journal of Cancer, 6, 1374-1403.
Ferrer, R.A., Klein, W.M., Zajac, L.E., Land, S.R. & Ling, B.S. (2012). An affective
booster moderates the effect of gain- and loss-framed messages on behavioral
intentions for colorectal cancer screening.Journal of Behavioral Medicine, 35, 452-
461.
Figueiras, M.J. & Alves, N.C. (2007). Lay perceptions of serious illnesses: An adapted
version of the Revised Illness Perception Questionnaire (IPQ-R) for healthy
people. Psychology & Health, 22 ,143-158.
Floyd, D.L., Prentice-Dunn, S. & Rogers, R.W. (2000). A meta-analysis of research on
protection motivation theory. Journal of Applied Social Psychology, 30, 407-429.
165
French, D.P., Cooper, A. & Weinman, J. (2006). Illness perceptions predict attendance
at cardiac rehabilitation following acute myocardial infarction: A systematic review
with meta-analysis. Journal of Psychosomatic Research, 61, 757-767.
Gallagher, K.M. & Updegraff, J.A. (2012). Health message framing effects on attitudes,
intentions, and behavior: A meta-analytic review. Annals of Behavioural Medicine,
43, 101-116.
Galway, K., Black, A., Cantwell, M., Cardwell, C.R., Mills, M. & Donnelly, M. (2012).
Psychosocial interventions to improve quality of life and emotional wellbeing for
recently diagnosed cancer patients. Cochrane Database of Systematic Reviews,
11. Art. No.: CD007064.
Gercovich, D., López, P.L., Bortolato, D., Margiolakis, P., Morgenfeld, M., Rosell, L. &
Gil, E. (2012). Rol del distrés psicológico en la relación entre percepción de
enfermedad y calidad de vida en pacientes con cáncer de mama. Psicooncología,
9, 403-414.
Giannousi, Z., Manaras, I., Georgoulias, V. & Samonis, G. (2009). Illness perceptions
in Greek patients with cancer: A validation of the Revised-Illness Perception
Questionnaire. Psycho-Oncology, 19, 85-92.
Godoy-Izquierdo, D., López-Chicheri, I., López-Torrecillas, F., Vélez, M. & Godoy, J.F.
(2007). Contents of lay illness models dimensions for physical and mental
diseases and implications for health professionals. Patient Education and
Counseling, 67, 196-213.
Graham, L., Dempster, M., McCorry, N., Donnelly, M. & Johnston, B.T. (2015). Change
in psychological distress in longer-term oesophageal cancer carers: are clusters of
illness perception change a useful determinant? Psycho-Oncology, DOI:
10.1002/pon.3993.
Grande, G.E., Myers, L.B. & Sutton, S.R. (2006). How do patients who participate un
cancer support groups differ from those who do not? Psycho-Oncology, 115, 321-
334.
Hagger, M.S. & Orbell, S. (2003). A meta-analytic review of the common-sense model
of illness representations. Psychology & Health, 18, 141-184.
Hagger, M.S. & Orbell, S. (2005). A confirmatory factor analysis of the Revised Illness
Perception Questionnaire (IPQ-R) in a cervical screening context. Psychology &
Health, 20, 161-173.
Hall, S., Bishop, A.J. & Marteau, T.M. (2006). Does changing the order of threat and
efficacy information influence. British Journal of Health Psychology, 11, 333-343.
166
Harding, R., List, S., Epiphaniou, E. & Jones, H. (2012). How can informal caregivers in
cancer and palliative care be supported? An updated systematic literature review
of interventions and their effectiveness. Palliative Medicine, 26, 17-22.
Hevey, D., Pertl, M., Thomas, K., Maher, L., Chuinneaga, S. & Craig, A. (2009). The
relationship between prostate cancer knowledge and beliefs and intentions to
attend PSA screening among at-risk men. Patient Education and Counseling, 74,
244-249.
Hodges, L.H., Humphris, G.M. & Macfarlane, G. (2005). A meta-analytic investigation
of the relationship between the psychological distress of cancer patients and their
carers. Social Science & Medicine, 60, 1-12.
Honda, K., Goodwin, R.D. & Neugut, A.I. (2005). The associations between
psychological distress and cancer prevention practices. Cancer Detection and
Prevention, 29, 25-36.
Hoogerwerf, M.A., Ninaber, M.K., Willems, L.N. & Kaptein, A.A. (2012). Feelings are
facts”: Illness perceptions in patients with lung cancer. Respiratory Medicine, 106,
1170-1176.
Hopkinson, J.B., Brown, J.C., Okamoto, I. & Addington-Hall, J.M. (2012). The
effectiveness of patient-family carer (couple) intervention for the management of
symptoms and other health-related problems in people affected by cancer: A
systematic literature search and narrative review. Journal of Pain and Symptom
Management, 43, 111-142.
Hopman, P. & Rijken, M. (2015). Illness perceptions of cancer patients: Relationships
with illness characteristics and coping. Psycho-Oncology, 24, 11-18.
Janssen, E., Waters, E.A., van Osch, L., Lechner, L. & de Vries, H. (2014).The
importance of affectively-laden beliefs about health risks: The case of tobacco use
and sun protection. Journal of Behavioural Medicine, 37, 11-21.
Johansson, A.C., Axelsson, M., Berndtsson. I. & Brink, E. (2014). Illness perceptions in
relation to experiences of contemporary cancer care settings among colorectal
cancer survivors and their partners. International Journal of Qualitative Studies on
Health and Well-being, 9, 1-11.
Jones, S.C. & Owell, N. (2006). Using fear appeals to promote cancer screening-are
we scaring to wrong people? International Journal of Nonprofit Voluntary Sector
Marketing, 11, 93-103.
Juth, V., Cohen Silver R. & Sender, L. (2015). The shared experience of adolescent
and young adult cancer patients and their caregivers. Psycho-Oncology, DOI:
10.1002/pon.3785.
167
Kahneman, D. & Tversky, A. (1979). Prospect Theory: An analysis of decision under
risk. Econometrica, 47, 263-292.
Kahneman, D. & Tversky, A. (1984). Choices, values and frames. American
Psychologist, 39, 341-350.
Kaptein, A.A., Scharloo, M., Helder, D.I., Kleijn, W.C., van Korlaar, I.M. & Woertman,
M. (2003). Representations of chronic illness. In L.D. Cameron & H. Leventhal
(eds.), The self-regulation of health and illness behaviour (pp. 97-118). London:
Routledge.
Kaptein, A.A., van Korlaar, I.M., Cameron, L.D., Vossen, C.Y., van der Meer, F.J. &
Rosendaal, F.R. (2007). Using the common-sense model to predict risk perception
and disease-related worry in individuals at increased risk for venous thrombosis.
Health Psychology, 26, 807-812.
Kucukarslan, S.N. (2012). A review of published studies of patients’ illness perceptions
and medication adherence: Lessons learned and future directions. Research in
Social and Administrative Pharmacy, 8, 371-382.
Lam, W.W., Soong, I., Yau, T.K., Wong, K.Y., Tsang, J., Yeo, W. et al. (2013). The
evolution of psychological distress trajectories in women diagnosed with advanced
breast cancer: A longitudinal study. Psycho-Oncology, 22, 2831-2839.
Lancastle, D., Brain, K. & Phelps, C. (2011). Illness representations and distress in
women undergoing screening for familial ovarian cancer. Psychology & Health, 26,
1659-1677.
Lehto, R.H. (2007). Causal attributions in individuals with suspected lung cancer:
Relationships to illness coherence and emotional responses. Journal of the
American Psychiatric Nurses Association, 13, 109-115.
Lehto, R. & Cimprich, B. (2009). Worry and the formation of cognitive representations
of illness in individuals undergoing surgery for suspected lung cancer. Cancer
Nursing, 32, 2-10.
Leventhal, H., Benyamini, Y., Brownlee, S., Diefenbach, M., Leventhal, E.A., Patrick-
Miller, L. & Robitaille, C. (1997). Illness representations: Theoretical foundations.
In K.J. Petrie & J. Weinman (dirs.), Perceptions of health and illness (pp. 19-47).
London: Harwood Academic.
Leventhal, H., Bodnar-Deren, S., Breland, J.Y., Gash-Converse, J., Phillips, L.A.,
Leventhal, E. & Cameron, L.D. (2011). Modeling health and illness behavior: The
approach of the Common-Sense Model. In A. Baum, T. Revenson & J. Singer
(eds.), Handbook of health psychology (2nd ed.). New York: Erlbaum.
168
Leventhal, H., Brissette, I. & Leventhal, E.A. (2003). The common-sense model of
regulation of health and illness. In L.D. Cameron & H. Leventhal (eds.), The self-
regulation of health and illness behaviour (pp. 42-65). London: Routledge.
Leventhal, H. & Diefenbach, M. (1991). The active side of illness cognition. In R.T.
Skelton & M. Croyle (dirs.), Mental representation in health and illness (pp. 247-
272). New York, NY: Springer Verlag.
Leventhal, H., Diefenbach, M. & Leventhal, E.A. (1992). Illness cognition: Using
common sense to understand treatment adherence and affect cognition
interactions. Cognitive Therapy and Research, 116, 143-163.
Leventhal, H., Leventhal, E.A. & Cameron, L. (2001). Representations, procedures,
and affect in illness self-regulation: A perceptual-cognitive model. In A. Baum, T.A.
Revenson & J.E. Singer (dirs.), Handbook of health psychology (pp. 19-48).
Mahwah: Lawrence Erlbaum.
Leventhal, H., Leventhal, E. & Contrada, R.J. (1998). Self-regulation, health and
behavior. A perceptual cognitive approach. Psychology & Health, 13, 717-734.
Leventhal, H., Meyer, D. & Nerenz, D. (1980). The common sense model of illness
danger. In S. Rachman (ed.), Medical psychology (pp. 7-30). New York, NY:
Pergamon.
Leventhal, H., Nerenz, D.R. & Steele, D.F. (1984). Illness representations and coping
with health threats. In A. Baum, S.E. Taylor & J.E. Singer (dirs.), A handbook of
psychology and health: Sociopsychological aspects of health (pp. 219-252).
Hillsdale, NJ: Erlbaum.
Lewis, I., Watson, B., Tay, R. & White, K.M. (2007). The role of fear appeals in
improving driver safety: A review of the effectiveness of fear-arousing (threat)
appeals in road safety advertising. International Journal of Behavioral Consultation
and Therapy, 3, 203-222.
Llewellyn, C.D., McGurk, M. & Weinman, J. (2007). Illness and treatment beliefs in
head and neck cancer: Is Leventhal's common sense model a useful framework for
determining changes in outcomes over time? Journal of Psychosomatic Research,
63, 17-27.
Lobban, F., Barrowclough, C. & Jones, S.A. (2003). Review of the role of illness
models in severe mental illness. Clinical Psychology Review, 23, 171-196.
Lykins, E.L.B., Graue, L.O., Brechting, E.H., Roach, A.R., Gochett, C.G. &
Andrykowski, M.A. (2008). Beliefs about cancer causation and prevention as a
function of personal and family history of cancer: A national, population-based
study. Psycho-Oncology, 17, 967-974.
169
McGowan, E.L. & Prapavessis, H. (2010). Colon cancer information as a source of
exercise motivation for relatives of patients with colon cancer. Psychology & Health
Medicine, 15, 729-741.
Mc Sharry, J., Moss-Morris, R. & Kendrick, T. (2011). Illness perceptions and
glycaemic control in diabetes: A systematic review with meta-analysis. Diabetic
Medicine, 11, 1300-1310.
Millar, K., Purushotham, A.D., McLatchie, E., George, W.D. & Murray, G.D. (2005). A
1-year prospective study of individual variation in distress, and illness perceptions,
after treatment for breast cancer. Journal of Psychosomatic Research, 58, 335-
342.
Miller-Reilly, C., Watkins-Bruner, D., Mitchell, S. A., Minasian, L.M., Basch, E., Dueck,
A.C. et al. (2013). A literature synthesis of symptom prevalence and severity in
persons receiving active cancer treatment. Supportive Care in Cancer, 21, 1525-
1550.
Milne, S., Sheeran, P. & Orbell, S. (2000). Prediction and intervention in health-related
behaviour: A meta-analytical review of protection motivation theory. Journal of
Applied Social Psychology, 30, 106-143.
Moss-Morris, R., Weinman, J., Petrie, K., Horne, R., Cameron, L. & Buick, D. (2002).
The Revised Illness Perception Questionnaire (IPQ-R). Psychology & Health, 17,
1-16.
Niederdeppe, J. & Gurmankin, L.A. (2007). Fatalistic beliefs about cancer prevention
and 3 prevention behaviors. Cancer Epidemiology, Biomarkers & Prevention, 16,
998-1003.
Northouse, L., Williams, A.L., Given, B. & McCorkle, R. (2012). Psychosocial care for
family caregivers of patients with cancer. Journal of Clinical Oncology, 30, 1227-
1234.
O’Keefe, D.J. & Jensen, J.D. (2006). The advantages of compliance or the
disadvantages of noncompliance? A meta-analytic review of the relative
persuasive effectiveness of gain-framed and loss-framed messages.
Communication Yearbook, 30, 1-43.
O'Keefe, D.J. & Jensen, J.D. (2009). The relative persuasiveness of gain-framed and
loss-framed messages for encouraging disease prevention behaviors: A meta-
analytic review. Journal of Health Community,12, 623-644.
O’Keefe, D.J. & Wu, D. (2012). Gain-framed messages do not motivate sun protection:
A meta-analytic review of randomized trials comparing gain-framed and loss-
framed appeals for promoting skin cancer prevention. International Journal of
Environmental Research and Public Health, 9, 2121-2133.
170
Orbell, S., Hagger, M., Brown, V. & Tidy, J. (2006). Comparing two theories of health
behavior: A prospective study of noncompletion of treatment following cervical
cancer screening. Health Psychology, 25, 604-615.
Orbell, S., O’Sullivan, I., Parker, R., Steele, B., Campbell, C. & Weller, D. (2008).
Illness representations and coping following an abnormal colorectal cancer
screening result. Social Science & Medicine, 67, 1465-1474.
Osborn, R.L., Demoncada, A.C. & Feuerstein, M. (2006). Psychosocial interventions
for depression, anxiety, and quality of life in cancer survivors: Meta-analyses.
International Journal of Psychiatry Medicine, 36, 13-34.
Pechman, C., Zhao, G., Goldberg, M.E. & Reibling, E.T. (2003). What to convey in
antismoking advertisements for adolescents: The use of protection motivation
theory to identify effective message themes. Journal of Marketing, 67, 1-18.
Petrie, K.J. & Weinman, J. (dirs.) (1997). Perceptions of health and illness. London:
Harwood Academic.
Pitceathly, C. & Maguire, P. (2003). The psychological impact of cancer on patients’
partners and other key relatives: A review. European Journal of Cancer, 39, 1517-
1524.
Plotikoff, R.C. & Trinh, L. (2010). Protection motivation theory: Is this a worthwhile
theory for physical activity promotion?. Exercise and Sport Sciences Review, 38,
91-98.
Rees, G., Fry, A., Cull, A. & Sutton, S. (2004). Illness perceptions and distress in
women at increased risk of breast cancer. Psychology & Health, 19, 749-765.
Rogers, R.W. (1975). A protection motivation theory of fear appeals and attitude
change. Journal of Psychology, 91, 93-114.
Rogers, R.W. (1983). Cognitive and physiological processes in fear appeals and
attitude change: A revised theory of protection motivation. In J.R. Cacioppo & R. E.
Petty (Eds.), Social psychology: A sourcebook (pp. 153-176). New York, NY:
Guilford Press.
Ruiter, R.A., Kok, G., Verplanken, B. & Brug, J. (2001). Evoked fear and effects of
appeals on attitudes to performing breast self-examination: An information
processing perspective. Health Education Research, 16, 307-319.
Ruiter, R.A., Kok, G., Verplanken, B. & van Eersel, G. (2003). Strengthening the
persuasive impact of fear appeals: The role of action framing. The Journal of
Social Psychology, 143, 397-400.
Scharloo, M., Baatenburg, R., Langeveld, T., van Velzen-Verkaik, E., Doorn-op, M. &
Kaptein, A. (2005). Quality of life and illness perceptions in patients with recently
diagnosed head and neck cancer. Head and Neck, 15, 857-863.
171
Sheard, T. & Maguire, P.(1999).The effect of psychological interventions on anxiety
and depression in cancer patients: Results of two meta-analyses. British Journal of
Cancer, 11, 1770-1780.
Sheeran, P., Harris, P.R. & Epton, T. (2013). Does heightening risk appraisals change
people’s intentions and behavior? A meta-analysis of experimental studies.
Psychological Bulletin, 140, 511-543.
Strong, V., Waters, R., Hibberd, C., Rush, R., Cargill, A., Storey, D.et al. (2007).
Emotional distress in cancer patients: The Edinburgh Cancer Centre symptom
study. British Journal of Cancer, 96, 868-874.
Sullivan, H.W., Finney-Rutten, L.J., Hesse, B.W., Moder, R.P., Rothman, A.J. &
McCaul, K.D. (2010). Lay representations of cancer prevention and early
detection: Associations with prevention behaviours. Preventing Chronic Disease,
7, 1-11.
Taber, J.M. & Aspinwall, L.G. (2015). Framing recommendations to promote prevention
behaviors among people at high risk: A simulation study of responses to
melanoma genetic test reporting. Journal of Genetic Counseling, 24, 771-782.
Trask. C., Pahl, L. & Begeman, M. (2008). Breast self-examination in long-term breast
cancer survivors. Journal of Cancer Survivors, 2, 243-252.
Van Oostrom, I., Meijers-Heijboer, H., Duivenvoorden, H.J., Bröcker-Vriends, A.H., van
Asperen, C.J., Sijmons, R.H. et al. (2007).Comparison of individuals opting for
BRCA1/2 or HNPCC genetic susceptibility testing with regard to coping, illness
perceptions, illness experiences, family system characteristics and hereditary
cancer distress. Patient Education and Counseling, 65, 58-68.
Vodermaier, A., Linden, W. & Siu, C. (2009). Screening for emotional distress in cancer
patients: A systematic review of assessment instruments. Journal of the National
Cancer Institute, 101, 1-25.
Wagner, L.I., Spiegel, D. & Pearman, T. (2013). Using the science of psychosocial care
to implement the New American College of Surgeons commission on cancer
distress screening standard. Journal of the National Comprehensive Cancer
Network, 11, 214-221.
Wang, C., Miller, S.M., Egleston, B.L., Hay, J.L. & Weinberg, D.S. (2010). Beliefs about
the causes of breast and colorectal cancer among women in the general
population. Cancer Causes Control, 21, 99-107.
Webb, T. & Sheeran, P. (2006). Does changing behavioral intentions engender
behavior change? A meta-analysis of the experimental evidence. Psychological
Bulletin, 132, 249-268.
172
Wellisch, D.K., Ormseth, S.R. & Aréchiga, A.E. (2015). Evolution of emotional
symptoms over time among daughters of patients with breast cancer.
Psychosomatics, 56, 504-512.
White, K. & Allen, M. (2000). A meta-analysis of fear appeals: Implications for effective
public health campaigns. Health Education & Behavior, 25, 591-615.
Williams, K.C. (2012). Fear appeal theory. Research in Business and Economics
Journal, 5, 1-21.
Wold, K.S., Byers, T., Crane, L.A. & Ahnen, D. (2005). What do cancer survivors
believe causes cancer? (United States). Cancer Causes Control, 16, 115-123.
Yan, C., Dillard, J.P. & Shen, F. (2010). The effects of mood, message framing, and
behavioral advocacy on persuasion. Journal of Communication, 60, 344-363.
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CAPÍTULO 9
ESTUDIO 3
Illness beliefs about hypertension among non-patients
and healthy relatives of patients
Publicado como:
Del Castillo, A., Godoy-Izquierdo, D., Vázquez, M.L. & Godoy, J.F. (2013).
Illness beliefs about hypertension among non-patients
and healthy relatives of patients.
Health, 5, 47-58.
[Revista indexada en las principales bases de datos: CABI, PubMed y PubMed
Central, ProQuest, ProQuest Central, Global Health y Health and Wellness
Resources Center.
174
175
Abstract
Objectives: Personal beliefs about illnesses have received increasing interest
because these cognitions help to explain and predict preventive and therapeutic coping
efforts, adjustment to a disease and health outcomes. We sought to explore and
compare non-specialised illness representations of hypertension among adults never
suffering from hypertension who had and had not lived with hypertensive patients.
Design: Hypertension representations were explored in a community-based,
convenience sample of normotensive Spanish adults of both genders from different
educational backgrounds and with different family experience with this illness.
Method: An adapted Illness Perception Questionnaire-R was used to assess such
perceptions among healthy people in nine dimensions: Identity, Consequences,
Personal Control, Treatment Control, Illness Coherence, Evolution, Emotional
Representations and Causes.
Results: The participants’ beliefs mixed accurate and folk knowledge. While
gender, age and education level had little impact, family experience (having or not
having a relative with hypertension) strongly determined the content of hypertension
representations. Participants with family experience held significantly stronger beliefs of
controllability of the disease, both by patients and treatments, considered the disease
as less stable and reported a lower emotional impact when thinking on suffering from
hypertension. Family experience was the only significant predictor of illness cognitions.
Conclusions: This study allowed us to know the perceptions of hypertension
among non-patients and healthy relatives of patients. Our findings are useful in
designing interventions aimed at hypertension prevention, particularly considering
family experience with the disease.
Keywords: Illness representations, IPQ-R, hypertension, non-patients, prevention
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Introduction
Hypertension is a public health problem in both economically developing and
developed nations. Nearly one third of the adult worldwide population has hypertension
[1-3]. In Spain, hypertension prevalence in the adult population is currently around
35%, affecting around 10 million people [4]. Although hypertension is not a severe
disease by itself, it is considered a “silent killer” because high blood pressure is an
important risk factor for other more serious disorders such as cardiovascular, kidney,
eye or pulmonary diseases. Thus, hypertension is a major source of morbidity and
mortality.
According to the Self-Regulation Model of Common Sense Illness Representations
(SRM) [5-13], people are active decision-makers and problem solvers and play an
agentic role in self-regulation. Both healthy and ill people construct non-specialised
models about illnesses which comprise a series of cognitive and emotional
representations to create an integrated, comprehensible and meaningful picture of a
health-threatening condition. Illness representations derive from several informational
sources, including: a) an individual’s knowledge and direct experiences; b)
sociocultural knowledge; and c) information and experiences from significant others
(e.g., relatives, physicians) [6, 7].
Sociodemographic variables such as gender, age and educational level are not
usually significant correlates of illness beliefs in the case of physical diseases [14-16],
although a number of exceptions have been reported [17-19]. However, having
suffered from the disease or having an ill relative consistently emerges as a relevant
contributor to illness representations for physical illnesses [14-16, 20-28].
Individuals use these representations to evaluate the risks for health and well-
being, and then direct diverse behavioural and emotional efforts to face the perceived
risks and to protect health. Individuals who are already ill use these representations to
manage their condition, to control its consequences in their lives and to recover their
health, well-being and quality of life. Therefore, as for the SRM illness representations
directly influence the illness-related emotion- and problem-focused coping actions and
indirectly, by a mediation path of coping, also influence the consequences of illnesses
and the adjustment to the disease. There is substantial evidence from populations with
different physical and mental illnesses supporting the relationship between illness
perceptions and specific coping behaviours (such as adherence to medical
recommendations) and between illness beliefs and a wide range of consequences
(such as quality of life) [see 29-32 for a review].
Although hypertension is a frequent disease, non-specialised illness beliefs about
it have been examined in only a few studies. Research conducted with hypertensive
177
patients [23, 34-41] has shown that their representations of the disease include
biomedical knowledge mixed with folk information, and that those representations
impact on their illness-related behaviours, such as adherence to treatments. Some of
these studies have also examined the impact of sociodemographic conditions on
hypertension beliefs. Ross et al. (2004) found that men, compared to women,
considered that hypertension has a broader impact on patient’s life, but also held
stronger beliefs of personal and treatment control on the disease. Older participants,
compared to younger participants, held weaker beliefs on consequences, personal
control and emotional impact, but stronger perceptions on treatment control. Wilson et
al. (2002) also found that younger participants underestimated mortality associated to
hypertension. Research on hypertension beliefs among healthy individuals is very
sparse and the findings are inconclusive. Wilson et al. (2002) assessed beliefs about
hypertension in an African-American sample including hypertensive patients and
healthy people. The disease was perceived by most of the participants, with no
discrimination between healthy and hypertensive participants, as symptomatic, caused
mainly by stress, heredity and eating habits and treatable with vitamins, home
remedies, medication and lifestyle changes. Meyer et al. (1985) sampled 230
individuals, 50 of whom were non-hypertensive, and found that both normotensive and
hypertensive participants believed that symptoms were associated with elevations in
blood pressure and, consequently could be used to monitor blood pressure elevations,
that the disease has a limited duration and that it is caused by a variety of
environmental and psychosocial conditions, such as work or family problems, stress
and diet.
To our knowledge, only one study has been conducted with Spanish population.
Godoy-Izquierdo et al. (2007) investigated illness representations for several diseases
(cancer, hypertension, influenza, depression and schizophrenia) in a sample of
university students who had or had not had any of those diseases and who did or did
not live with a patient suffering from any of them. They utilized a less-used survey for
assessing illness beliefs. Approximately 2.5% of the participants suffered or had
suffered from hypertension, and 43.5% were living or had previously lived with a
hypertensive patient. Most of the participants believed that hypertension had no bodily
symptoms, it had a notable impact on patient´s life and it was long-lasting but
amenable to cure. A high percentage of participants thought that hypertension was
linked to psychological factors, such as stress and emotional activation or lack of rest.
These findings are consistent in many respects with those from studies of hypertensive
patients [34, 35, 37, 39, 41], but they differ particularly on the identity dimension, as
patients tended to believe that high blood pressure manifests through bodily symptoms.
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Godoy-Izquierdo et al. (2007) also found for the diseases studied that the illness
cognitions of participants who had either personal experience of the diseases or a
diagnosed relative were significantly different from those of participants without such a
direct or family experience. Compared to participants without a personal or family
experience, patients and their relatives perceived the diseases as significantly less
chronic and serious, more stable but also recurrent, with fewer or less severe
consequences for daily functioning and well-being, as more preventable and
controllable, and as more amenable to a cure. These findings imply an essential
influence of experience with a disease on lay representations of it.
The present study was conducted to address and compare the illness
representations of hypertension among healthy, normotensive Spanish adults who
differed in their family experiences with the disease. To our knowledge, no study has
considered the impact of sociodemographic factors on the representations of
hypertension specifically among healthy people, and we also addressed this issue. We
used the most widely accepted SRM-derived tool for assessing illness representations:
the revised version [42] of the Illness Perception Questionnaire [43]. Based on previous
findings in the above-mentioned illness representations studies, we predicted that the
participants’ beliefs about hypertension would reflect both biomedical knowledge and
folk information. We did not expect that gender, age or educational level would
influence hypertension representations. However, we expected that the experience of
living with a hypertensive patient would impact the representations of healthy
participants.
Methods
Participants
A total of 130 adults (50% women) 18 to 66 years old (M= 39.97; SD= 13.81)
participated. Table 1 displays their most relevant characteristics. At the time of the
study, none of the participants had ever suffered from hypertension, and 38.5% (50
participants) had lived or were currently living with any relative who had hypertension.
This community-based, convenience sample was recruited at random from private
households and community settings such as public transport stations, workplaces,
parks, healthcare service delivery locations, academic centres and shopping centres.
In 17.7% of cases, participants reported suffering from a physical or mental disease at
the time of the study. More frequently reported diseases were depression (30.4%),
anxiety (26.1%) and diabetes (17.4%). The other reported illnesses affected only one
or two individuals each. No participant reported any severe illness.
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Table 1: Socio-demographic data. %
Age ranges 18-25 26-35 36-45 46-55 56-66
20.8 22.3 17.7 21.5 17.7
Educational level (highest completed level)
No formal education Primary school Secondary school Vocational training and other formal education University
7.7 21.5 27.7 9.2 33.8
Work status Student Employed Student & Employed Housework Unemployed
13.1 59.2 5.4 14.6 7.7
Marital status
Single Short-term relationship (< 3 years) Long-term relationship (> 3 years) Separated/Divorced Widow
19.2 23.8 47.7 6.9 2.3
Physical or mental disease at the time of the study
Yes No
17.7 82.3
Measures
The participants completed a Spanish-modified version of the Revised Illness
Perception Questionnaire (IPQ-R) by Moss-Morris et al. (2002) adapted to assess
illness perceptions among healthy people [21]. The IPQ-R evaluates nine dimensions
from Leventhal and colleagues’ SRM model and research findings [42]: Identity
(symptoms associated with the illness and label); Timeline (duration and chronicity);
Consequences (effects of the illness on an individual’s lifestyle, health and well-being);
Personal Control (personal influence on preventing and managing the disease);
Treatment Control (availability and efficacy of treatments to manage or cure the
disease and its symptoms); Illness Coherence (personal understanding of the disease);
Evolution (course and temporal changeability or fluctuation of the illness and
symptoms); Emotional Representations (emotional impact of the disease) and
Aetiology or Causes (psychological, behavioural, biological, chance and external
causes of the disease).
For all of the dimensions except identity and causes, a series of statements (e.g.,
“My illness does not worry me”) are included for which the person must express his or
her level of agreement on a Likert-type scale with five alternatives (from “Strongly
disagree” to “Strongly agree”). For all these subscales, partial scores were defined as
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the mean of the scores for the items on each subscale (considering direct and inverse
items, see table 2), with higher scores indicating stronger beliefs about the disease
chronicity, cyclical course, impact and outcomes, personal influence, cure possibilities,
perceived understanding and emotional reactions to the disease. For the identity
dimension, answers to whether each in a series of symptoms was perceived as
characteristic of the disease were examined. The higher the score, the more
symptomatic the disease was perceived to be. For the cause subscale, those factors
scoring the highest in a series of possible causes are those the person considers to be
the most relevant aetiological factors for the illness. A global score was calculated by
summing the answers to all items excepting those from causes subscale, with higher
scores reflecting stronger illness representations.
Following previous suggestions [42, 43], we modified the questionnaire to adapt it
to non-patients and to make it more complete and better fitted to hypertension.
Therefore, each reference to “my” illness was substituted by “the” illness or
“hypertension”. For the identity subscale, some new symptoms were added, while
others were augmented with additional detail or re-categorised. Two new items (#20
and #24 in our version) were added to assess complementary beliefs about a cure for
hypertension. Item 21 in our version was rewritten to assess beliefs about prevention of
the disease. Items measuring the emotional representations dimension were also
rewritten to assess emotional distress among healthy people. Items 22 and 25 were
completed. Some causes were completed or added to the cause subscale (see all
changes in table 2).
The psychometric properties of the IPQ-R have been previously demonstrated
among English-speaking and Spanish populations [21, 42, 44], as well as in the context
of hypertension [44]. The internal reliability of the IPQ-r version used was alpha= 0.77
(the identity dimension was excluded from the analysis).
Procedure
After the study was approved by the institutional research ethics committee,
participants were asked to take part voluntarily and to sign an informed consent form.
They had been informed previously that the general objective of the study was to learn
their beliefs about hypertension and not to gauge their level of knowledge. Specific
instructions for completing the questionnaire were given. A survey requesting personal
and sociodemographic data was also included and contained questions about whether
participants had ever suffered from hypertension and whether they had ever lived with
a relative who was diagnosed with hypertension.
181
A community-based convenience sample was constructed. Three housing
buildings and several community settings per district were selected at random with a
local telephone directory. A person in one of every three possible households and one
of every three people in the public settings were asked to participate and followed the
above-mentioned procedure when they accepted. Questionnaires from people suffering
or having suffered from hypertension were not considered for analysis.
Data analyses
We conducted preliminary analyses to detect errors in data, lost or absent data, or
extreme and outlier values and to check parametric assumptions to make decisions on
statistical tests. Given that the parametric assumptions were met in the majority of the
variables (although Kolmogorov-Smirnov tests were usually significant, no significant
Levene coefficients were found), we opted for parametric tests. Descriptive analyses,
ANOVAs and t-tests for group comparisons and multiple linear regression analyses
were conducted. In addition, Cohen’s d coefficient was calculated to estimate effect
size (for equal or unequal sample sizes).
Results
Non-specialised beliefs about hypertension
To establish the contents of illness models for hypertension in detail, descriptive
data and the percentages of responses for each item were obtained (see table 2).
Influence of gender, age and educational level on hypertension representations
Women showed stronger beliefs about identity, timeline and coherence for
hypertension, while men had stronger beliefs about consequences, personal control,
treatment control, evolution and emotional representation. We only found one
significant difference: men believed that hypertension has more serious consequences
for patients and their families than did women (see table 3). The value of d is moderate
for this comparison and below 0.3 for the remaining ones.
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Table 2: Percentages of agreement responses and descriptive results for each
subscale.
Dimensions %
Identity (0-15a) (perceived symptoms of hypertension) M= 5.38, SD= 2.51; R= 0-13
Fatigue, tiredness Tachycardiab Dizziness, vertigob Pain anywhereb Emotional distress, sadness or anxietyb Weakness, loss of strengthb Breathlessness, respiratory problemsb Sleep difficulties Nausea Mobility difficultiesb Stiff joints Stomach-intestine problemsb Feverb Weight loss Delirium and hallucinationsb
76.2c
76.2 74.6 49.2 43.1 40 39.2 34.6 23.1 17.7 16.2 11.5 10 9.2 7.7
Timeline (acute/chronic) (1-5) (This illness…) M= 3.92, SD= 0.65; R= 2.17-5
3. Will last for a long-time 2. Is likely to be permanent rather than temporary 5. Is expected to be for life 6. Will improve in timee (Item 18 in IPQ-R) 4. Will pass quicklye 1. Will last a short timee
80d
69.2 63 17.7 7.7 2.3
Consequences (1-5) (This illness…) M= 2.87, SD=0.57; R= 1.33-5
7. Is a serious condition 8. Has major consequences on patient's life 12. Causes difficulties for the people close to patients 9. Does not have much effect on patient’s lifee 11. Has serious financial consequences 10.Strongly affects the way others see patients
59.3d 49.2 14.6 12.3 12.3 8.5
Personal Control (1-5) M= 4.18, SD=0.58; R= 2-5
17. Patients have the power to influence their illness 14. What patients do can determine whether their disease gets better or worse 13. There is a lot which patients can do to control their symptoms 15. The course of the disease depends on the patient 18. A patient's actions will have no effect on the outcomes of her/his illnesse 16. Nothing the patient does will affect his/her illnesse
94.6d 88.4 85.4 73 8.4 5.3
Treatment Control (1-5) M=3.91, SD= 0.45; R= 2.71-5
22. The treatment can control the disease and its negative effects 21. The illness can be prevented 20. The treatment effectively relieves the symptoms but does not cure the disease (new) 25. Some treatment or intervention exists which is effective in curing this disease (medication, therapy, surgery, rehabilitation...) (Item 20 in IPQ-R) 23. There is nothing which can help the patient's conditione
19. There is very little that can be done to improve when ille
24. This illness goes away or is cured by its owne (new)
85.4d 76.2 63 38.4 10 3.8 2.3
Illness Coherence (1-5) M=3.41, SD=0.89; R= 1.40-6
30. I have a clear picture or understanding of the disease 26. The symptoms of this disease are puzzling to mee 27. The disease is a mystery to mee 28. I don’t understand this illnesse
29. The disease doesn’t make any sense to mee
51.6d 26.9 23.1 19.2 7
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Table 2: (Continued)
Evolution (timeline-cyclical) (1-5) M= 2.83, SD= 0.92; R= 1-5
34. The patient goes through cycles in which the disease gets better and worse 33. The disease is very unpredictable 32. The symptoms come and go in cycles 31. The symptoms of this disease change a great deal from day to day
34.7 33 29.2 23.8
Emotional Representations (1-5) M= 2.57, SD= 0.79; R= 1-5
38. I am not worried about this disease or suffering from ite 35. I get depressed when I think I have or may have this disease 36. When I think on this disease I get upset 40. Thinking on having this disease makes me feel afraid 39. I feel anxious about the idea of having this disease 37. To think on having this illness makes me feel angry
21.5d
15.3 13.8 12.3 11.5 9.2
Causes
Diet, eating habits Stress or worry Smoking Ageing Overwork Hereditary, geneticb Alcohol consumptionb
Poor medical care in one’s life Family problems or worries One’s own behaviour and habitsb One’s own emotions and moods Accident or injury One’s own mental attitude and thinkingsb Chance, bad luck Pollution, environmental contaminationb One’s own personality Other peopleb (new) Immunity problemsb Germs or viruses
86.9d 84.6 83.9 81.6 76.1 73.1 66.1 51.6 48.5 44.7 43 41.5 24.7 22.3 21.5 19.3 9.2 7.7 6.2
Footnotes: Range of possible responses: Identity subscale: 1=Yes, 0=No; Remaining
subscales: 1=”Strongly Disagree”-5=”Strongly agree”. a Minimum and maximum possible score in the subscale in the revised questionnaire
used in this study. b Symptoms/causes added, completed or grouped in categories c Percentage of people answering “Yes” d Percentage of people answering “Agree” plus “Strongly agree” e Reverse-scored item
184
Table 3: Comparisons according to gender.
DIMENSIONSa MEN (N=65)
WOMEN (N=65)
t p d
M SD M SD
Identity 5.32 2.13 5.43 2.86 -0.243† 0.808 -0.04 Timeline 3.9 0.68 3.93 0.62 -0.292 0.770 -0.05
Consequences 2.98 0.66 2.75 0.44 2.414† 0.017* 0.42 Personal control 4.22 0.54 4.15 0.61 0.657 0.513 0.12
Treatment control 3.95 0.43 3.87 0.47 0.945 0.346 0.18 Coherence 3.33 0.93 3.5 0.86 -1.101 0.273 -0.19 Evolution 2.89 0.94 2.78 0.9 0.692 0.490 0.12
Emotional representations 2.66 0.7 2.48 0.88 1.292† 0.199 0.23 a Aetiology dimension was not considered for comparison analyses. † Not considering equal variances. * p< 0.05
We considered five age groupings for comparative purposes. In general, as age
increased, stronger beliefs were found, with the exceptions of beliefs in the symptoms
and coherence dimensions. Although no significant differences were found in the
ANOVAs (see table 4), we found marginally significant differences for two dimensions
and the following significant differences in pair comparisons, accompanied by
moderate to high effect sizes. Bonferroni’s post hoc comparisons revealed that
participants aged 26-35 yr. indicated significantly more symptoms than did participants
aged 56-66 yr. (p=0.028, d= 0.93), and Games-Howell’s test showed that participants
aged 18-25 yr. reported a significantly lower level of perceived personal control of the
disease than did participants aged 56-66 yr. (p=0.047, d= 0.78). In the dimension of
emotional representations, although the comparison for participants aged 36-45 yr. and
46-55 yr. was non-significant, the d value was 0.67, indicating a moderate effect size
for this difference.
185
Table 4: Comparisons according to age.
DIMENSION 18-25 (N=27)
26-35 (N=29)
36-45 (N=23)
46-55 (N=28)
56-66 (N=23) F p
M SD M SD M SD M SD M SD
Identity 5.37 2.40 6.31 2.25 5.56 2.98 5.21 2.42 4.22 2.24 2.385 0.055 Timeline 3.82 0.7 3.97 0.56 4.01 0.65 3.73 0.55 4.09 0.77 1.309 0.270
Consequences 2.78 0.34 2.96 0.8 2.78 0.59 2.86 0.49 2.93 0.56 0.530 0.714 Personal control 3.99 0.6 4.12 0.74 4.16 0.51 4.29 0.51 4.39 0.39 1.915 0.112
Treatment control 3.78 0.35 3.98 0.46 3.97 0.46 3.9 0.54 3.93 0.42 0.818 0.516
Coherence 3.44 0.71 3.52 0.98 3.61 0.87 3.17 0.93 3.33 0.95 0.956 0.434 Evolution 2.57 0.84 2.97 0.88 3.07 1.07 2.77 0.83 2.8 0.97 1.124 0.348 Emotional
representations 2.49 0.99 2.44 0.84 2.4 0.75 2.84 0.57 2.69 0.73 1.469 0.216
Participants’ education level in the Spanish school system was also considered for
comparison purposes. In general, as education level increased, stronger beliefs were
found, with the exceptions of consequences and emotional representations
dimensions, although university-educated participants usually showed a change in this
pattern. ANOVAs showed significant differences for two dimensions and marginally
significant differences for another one (see table 5). Bonferroni’s posthoc comparisons
revealed significant differences for the dimension of timeline for participants with no
formal education versus primary education (p=0.049, d= 1.02) and versus university
education (p=0.036, d=1.25), with participants with higher education scoring higher. In
the treatment control dimension, significant or marginally significant differences were
found between participants without studies and the remaining participants, such that
participants with no education scored lower (p= 0.06, d= 1.10; p= 0.004, d= 1.32; p=
0.009, d= 1.41; p= 0.027, d= 1.04, respectively). We also found a marginally significant
difference in identity beliefs between the participants with primary versus secondary
education levels, with primary-educated participants indicating fewer symptoms
(p=0.102, d=0.68). A moderate effect size was also found for the non-significant
difference in identity beliefs between participants who had secondary-level education
and those with other formal education (d=0.67). Although no further significant
differences were found, we obtained two other large effect sizes that included the
dimension of personal control, in the comparison between participants with no formal
education and those with primary studies (d= 0.87), and the dimension of timeline, in
the comparison between participants without studies and those with other formal
studies (d= 0.89).
186
Table 5: Comparisons according to educational level.
DIMENSION
No education
(N=10)
Primary (N=28)
Secondary (N=36)
Others (N=12)
University (N=44) F p
M SD M SD M SD M SD M SD
Identity 5.40 3.50 4.57 2.17 6.19 2.52 4.50 2.47 5.45 2.35 2.119 0.082 Timeline 3.4 0.66 4.06 0.64 3.75 0.7 4.04 0.76 4.05 0.48 3.366 0.012*
Consequences 2.95 0.35 2.88 0.57 2.76 0.39 2.61 0.87 2.99 0.63 1.521 0.200 Personal control 3.97 0.55 4.36 0.41 4.21 0.52 4.15 0.60 4.11 0.69 1.243 0.296
Treatment control 3.44 0.44 3.89 0.4 4.01 0.43 4.07 0.45 3.91 0.45 3.827 0.006**
Coherence 3.2 0.72 3.38 0.85 3.54 0.92 3.55 1.2 3.34 0.86 0.491 0.742 Evolution 2.7 0.59 3.0 1.15 2.88 0.91 2.73 1.22 2.74 0.73 0.444 0.776 Emotional
representations 2.62 0.52 2.65 0.76 2.7 0.83 2.24 1.03 2.5 0.77 0.936 0.445
* p< 0.05 ** p< 0.01
Influence of family experience with the disease on hypertension representations
When we compared the representations of hypertension of participants who had
never lived with a person with hypertension and those who were currently living with
someone with this disease or who had done so in the past, we generally found that
those who had experience with the disease had stronger beliefs on all dimensions
except consequences and emotional representations. Significant differences were
found for the dimensions of personal control, treatment control, evolution and emotional
representations (see table 6). Effect sizes were up to moderate for these differences.
Table 6: Comparisons according to experience with the disease.
DIMENSIONS EXPER. (N=50)
NO EXPER. (N=80)
t p d
M SD M SD
Identity 5.66 2.58 5.20 2.47 1.016 0.312 -0.18 Timeline 3.99 0.69 3.87 0.62 0.974 0.332 -0.19
Consequences 2.8 0.56 2.9 0.58 -0.975 0.331 0.17 Personal control 4.35 0.53 4.08 0.58 2.641 0.009** -0.48
Treatment control 4.06 0.41 3.82 0.45 3.040 0.003** -0.55 Coherence 3.57 0.89 3.32 0.88 1.580 0.117 -0.28 Evolution 3.15 0.93 2.63 0.85 3.232 0.002** -0.59
Emotional representations 2.35 0.79 2.71 0.77 -2.562 0.012* 0.46
Equal variances assumed for all. * p< 0.05, ** p< 0.01
187
Predictors of the illness perceptions on hypertension
Finally, to establish which variable(s), if any among the sociodemographic and
family experience variables, significantly predicted hypertension representations, we
conducted a step-wise multiple regression analysis. We considered the outcome
variable to be the total IPQ-R score obtained by adding all the partial scores (except for
the causes dimension) such that the higher the global score, the more robust the
beliefs about hypertension. Controlling for age, gender and educational level (none of
which explained an independent, significant proportion of the predicted variable in an
analysis conducted as a first step), family experience was the only significant predictor,
explaining 3.2% of the IPQ-R total score (corrected R2= 0.032; F= 5.307, p= 0.023).
Having a relative diagnosed with the disease increased a person’s score by 0.2 units
(standardised beta= -0.200; t= -2.304, p= 0.023). Although the influence of family
experience is small, it is a significant impact.
Discussion
Although the SRM has been applied to different physical and mental illnesses,
there are relatively few studies regarding the non-specialised beliefs that healthy
people hold and how their beliefs influence health- and disease-related behaviours
[e.g., 16, 21, 27, 41, 45, 46]. This is particularly true for the Spanish population.
Furthermore, research specific to hypertension is scarce, although this disease is one
of the leading causes of morbidity in the world and one of the main risks factors for
serious pathologies such as heart attack, stroke or chronic renal failure. Consequently,
healthy people, risk populations, patients, relatives of patients and even health
professionals are in need of tailored interventions. This study focused on establishing
the representations of hypertension among healthy, normotensive Spanish adults of
both genders and with diverse educational backgrounds and varying family experience
with the disease. In summary, we found that the participants’ beliefs about
hypertension were fairly accurate but also deviated from medical knowledge in some
respects. Our findings also indicated that there was a little influence of educational
level gender and age. However, a personal experience of having lived with a
hypertensive patient had a relevant impact on the contents of illness representations.
Descriptive findings indicated that hypertension was considered by non-patients to
be a symptomatic, stable and durable (i.e., chronic) disease that is highly controllable
by both the patient and by treatments and that has only a moderate impact on the
patient’s life. Specifically, the participants believed that the patients experience an
average of five symptoms related to high blood pressure, such as fatigue or tiredness,
tachycardia, dizziness or vertigo (identified by 3 out of 4 participants), and even pain or
188
mood disturbances (identified by almost half of participants). These data stand in
contrast to the asymptomatic character of hypertension, the so-called “silent killer”, at
least until the disease becomes very advanced. The results are consistent with others’
findings obtained from patients [37, 39, 41] and indicate the necessity for non-
specialised people of looking for indicators of the presence of the illness (signs and
symptoms) as a way to identify when they are ill or not.
For the majority of the participants, hypertension was seen as a moderately
severe, life-long disease that causes some difficulties to patients but not to their
families. This perception may derive from the severe pathologies that follow from
hypertension and not to hypertension itself, which generally does not have a significant
impact on patients’ daily lives. Furthermore, hypertension was perceived as a disease
whose development, evolution and recovery are controllable by both the patient and
the available treatments. Participants implicated behavioural and psychological factors,
such as eating habits, stress and substance abuse (e.g., smoking, alcohol intake) more
frequently. Uncontrollable causes, such as age or genetics, were also indicated. This
finding may be due to the way hypertension is treated in prevention interventions,
where management of controllable psychosocial aspects is emphasised to decrease
the impact of other uncontrollable risk factors. Moreover, a very high percentage of the
sample believed that available treatments could bring relief from symptoms of the
illness; however, hypertension was not perceived as a curable disease.
Regarding its course and evolution, hypertension was perceived as a stable
disease, although one out of three people believed that it goes through cycles in which
the symptoms increase or decrease. Half of participants affirmed they had poor
understanding of the disease. This low level of understanding probably is related to the
asymptomatic nature of hypertension and the absence of clear signs of the disease
beyond blood pressure tests, at least in the initial disease stages. These circumstances
can impede the layperson’s grasp of the disease and its characteristics, although the
high incidence and prevalence of hypertension is a reality of our culture.
Regarding the emotional representations, we found that participants did not feel
particularly worried, fearful or sad when thinking about developing this disease. This
low perceived emotional impact stands in contrast with the fact that almost 6 out of 10
participants considered hypertension a serious illness and almost half of them believed
that it has important consequences for patients. Although hypertension has a high
incidence and prevalence in the population worldwide and it can be associated with
serious or even lethal disorders, this is perceived as only occurring in a relatively low
proportion of hypertensive patients. Hence, the vast majority felt that suffering from this
189
illness does not mean experiencing very serious consequences in daily life or general
health.
Our results support previous findings regarding both the content and fit of beliefs
on hypertension with objective medical knowledge [37-39] and are similar in many
respects to those obtained in a Spanish study [23]. In our study, hypertension
representations were generally accurate but sometimes they differed from medical
knowledge and were based on common sense, cultural beliefs and folk knowledge.
Other researchers have stated that laypeople’s illness cognitions of diverse physical
illness diverge sharply from current medical understanding [14, 21, 23, 37, 39, 41, 47,
48].
Research exploring the influence of sociodemographic factors on lay
representations of hypertension is scarce. Contrary to findings by Ross et al. (2004),
we have found that sociodemographic variables have little influence on hypertension
cognitions. When we examined the impact of gender, we only found that, compared to
women, men perceived significantly more frequent or severe consequences of
hypertension (i.e., men perceived hypertension as more serious, with a strong and
broad impact to patients, their relatives and caregivers). With regard to age, only 2
significant differences in 80 comparisons were found. Some significant differences
emerged for educational level, although only regarding the disease timeline and
treatment control dimensions. The general tendency of the significant findings was, as
expected, that a higher level of formal education led to more accurate beliefs.
As we documented in the Introduction, direct experience with an illness, in terms of
suffering from the disease or caring for a patient, is proposed by the SRM and has
been found to have an important influence on the construction of illness
representations. To date these influences from personal experience with the disease
have not been broadly explored in the case of hypertension [e.g., 23, 41]. In our study,
after controlling for sociodemographic variables, personal experience (i.e., living with a
patient) was the only significant predictor of hypertension representations.
Furthermore, patients' relatives or caregivers perceived hypertension as significantly
more manageable by both patients and treatments. People who had lived with a
hypertensive patient also perceived the disease as significantly more unpredictable and
changeable, with improvements and relapses over time. They also reported a
significantly lower level of negative feelings of worry, fear or sadness when faced with
the possibility of suffering from hypertension themselves. This apparent emotional
immunity may be linked to their daily experience with the disease and its
consequences.
190
The SRM proposes that illness-related behaviours, such as adhering to a healthy
habit or to drug treatments, are strongly influenced by illness perceptions. Patients and
non-patients consider whether such behaviour changes are consistent with what they
believe about the illness and its management when deciding on complying with the
recommended changes. In the case of hypertension particularly, adherence to
behavioural changes has an added importance because inaccurate beliefs about this
illness [37-39, 41, 49], particularly about its causes [42], together with its asymptomatic
nature, seem to negatively affect adherence to prescribed treatments and preventive or
therapeutic behaviours.
It is important to know how a very extended but preventable disease such as
hypertension is understood by healthy laypeople and to know which beliefs derive from
a direct experience with the disease so that interventions, such as health promotion
and disease prevention programmes, can be targeted appropriately. Our findings
provide a basis for new research and interventions aimed at hypertension prevention.
As the SRM suggests, patients cope with their disease and its impact based on their
beliefs and, for example, adhere to treatments, self-regulate emotional distress or
adopt self-care activities or changes in lifestyles if they believe something can be done
to manage the disease, its symptoms and its consequences for their lives. Similarly, it
is expected that healthy people avoid risks, seek medical care, undergo medical exams
and adopt new healthy behaviours if they believe they can act to prevent a disease. In
our study, 3 out of 4 participants perceived hypertension as a preventable disease.
Previous research has established a positive relationship between perceptions about
an illness and the attitudes, intentions and actions regarding future protective and
preventive behaviours [26, 50-52]. Thus, it is expected that more accurate beliefs will
lead non-patients to carry out more appropriate and beneficial actions to face illnesses
before a diagnosis is given. Individually focused revision and discussion of illness
beliefs should modify misconceptions and biased, inappropriate and unrealistic
expectations.
Understanding the illness beliefs held by healthy people would also provide
insights as to how a particular illness or health-threatening condition is perceived prior
to a possible personal or family experience with the disease. It would help us to
understand how these representations are changed by the illness experience; how they
relate to specific coping behaviours, adjustment and health outcomes with and without
personal or family experience; and how this information can be used to derive
preventive and therapeutic interventions aimed at modifying illness beliefs in both
patients and non-patients. Furthermore, such knowledge would allow us to inform
appropriate preventive and therapeutic interventions, so as the emotional and
191
behavioural managing actions of non-patients and patients could be better adjusted to
their respective conditions and result in more positive outcomes in terms of health and
well-being and management of risks. Our study also stresses the key role of health
psychologists in primary and specialised care and, more broadly in community health
policies and campaigns, for educating both laypeople (patients, non-patients, relatives
and caregivers) and specialised staff.
However, some limitations of this study should be considered in future research.
Given the scarcity of studies on hypertension representations in Spanish samples we
encourage researchers to conduct new studies aimed at replicating our results and to
include cross-cultural comparison purposes. It would be advisable to increase the
number of participants and to include a more heterogeneous sample. Further, sample
size made comparisons between groups to have been done with small groups, limiting
the statistical power of the analyses. The reliance on self-reported diagnoses of
personal and family member hypertension has important limitations, as prevalence may
be under- or overestimated. Nonetheless, this procedure has been found to show a
moderate to excellent agreement with epidemiological, population-based prevalence in
nationwide samples [53-55]. Thus, self-reports are considered valid and an appropriate
indicator for the surveillance of hypertension prevalence in the absence of blood
pressure measurement. Researchers and health specialists are increasingly obtaining
information on chronic illnesses from self-reports [e.g., 56-60]. Future research should
also compare the beliefs of non-patients, caregivers, patients with hypertension and
people who have suffered from hypertension. Further, neither the type and accuracy of
knowledge the participants had nor the sources of said knowledge were considered
herein, and it would be appropriate to know and compare the beliefs of people who
have significant medical knowledge with those held by people with no specialised
knowledge. It would be also interesting to consider participant`s current or future risk of
having hypertension due to behavioural or genetic causes. Finally, it would be
interesting to explore how illness perceptions themselves change over time in response
to new influences, such as an individual’s personal and/or family experience with the
illness.
Acknowledgements: This research was partially supported with the financial aid
provided to the “Medicina Conductual/Psicología de la Salud” Research Group (CTS-
0267) by the Consejería de Innovación, Ciencia y Empresa, Junta de Andalucía
(Spain). We are grateful to all the participants and assistants who made this study
possible.
192
References
[1] Hajjar I, Morley Kotchen J, and Kotchen TA (2006) Hypertension: Trends in
Prevalence, Incidence, and Control. Annual Review of Public Health, 27, 465-490.
[2] Kearney PM, Whelton M, Reynolds K, Muntner P, and Whelton PK (2005) Global
burden of hypertension: analysis of worldwide data. Lancet, 365, 217-222.
[3] Wolf-Maier K, Cooper RS, Banegas JR, Giampaoli S, Hense HW, Joffres M,
Kastarinen M, Poulter N, Primatesta P, Rodriguez Artalejo F, Stegmayer B,
Tuomilehto J, Vanuzzo D, and Vescio F (2003) Hypertension prevalence and
blood pressure levels in 6 European countries, Canada and the United States.
JAMA , 289, 2363-2369.
[4] Sociedad Española de Hipertensión-Liga Española para la Lucha contra la
Hipertensión Arterial (2005) Guía Española de Hipertensión Arterial. Hipertensión
22 (S2).
[5] Diefenbach MA, and Leventhal H (1996) The common-sense model of illness
representations: Theoretical and practical considerations. Journal of Social
Distress and the Homeless, 5,11-38.
[6] Leventhal H, Diefenbach M (1991) The active side of illness cognition. In: Skelton
RT and Croyle M (dirs) Mental representation in health and illness. New York,
Springer Verlag, 247-272.
[7] Leventhal H, Meyer D, Nerenz D (1980) The common sense model of illness
danger. In S Rachman (ed) Medical psychology. Vol.2. New York, Pergamon, 7-
30.
[8] Leventhal H, Nerenz DR, and Steele DF (1984) Illness representations and coping
with health threats. In: Baum A, Taylor SE, and Singer JE (dirs) A handbook of
psychology and health: Sociopsychological aspects of health. Hillsdale, Erlbaum,
219-252.
[9] Leventhal H, Diefenbach M, and Leventhal EA (1992) Illness cognition: Using
common sense to understand treatment adherence and affect cognition
interactions. Cognitive Therapy and Research, 116, 143-163.
[10] Leventhal H, Benyamini Y, Brownlee S, Diefenbach M, Leventhal EA, Patrick-
Miller L, and Robitaille C (1997) Illness representations: Theoretical foundations.
In: Petrie KJ and Weinman J (dirs) Perceptions of health and illness. London,
Harwood Academic, 19-47.
[11] Leventhal H, Leventhal E, and Contrada RJ (1998) Self-regulation, health and
behavior. A perceptual cognitive approach. Psychology & Health 13, 717-734.
[12] Leventhal H, Leventhal EA, Cameron L (2001) Representations, procedures, and
affect in illness self-regulation: A perceptual-cognitive model. In: Baum A,
193
Revenson TA and Singer JE (dirs) Handbook of health psychology. Mahwah,
Lawrence Erlbaum, 19-48
[13] Leventhal H, Brissette I, Leventhal EA (2003) The common-sense model of
regulation of health and illness. In: Cameron LD and Leventhal H (eds) The self-
regulation of health and illness behaviour. London, Routledge, 42-65.
[14] Anagnostopoulos F, and Spanea E (2005) Assessing illness representations of
breast cancer: Comparison of patients with healthy and benign controls. Journal of
Psychosomatic Research, 58, 327-334.
[15] Heijmans M, de Ridder D, and Bensing J (1999) Dissimilarity in patients' and
spouses’ representations of chronic illness: Exploration of relations to patient
adaptation. Psychology & Health, 14, 451-466.
[16] Lau-Walker M (2004) Relationship between illness representation and self-
efficacy. Journal of Advanced Nursing ,48, 216-225.
[17] Heijmans M, and de Ridder D (1998) Structure and determinants of illness
representations in chronic disease: A comparison of Addison’s disease and
chronic fatigue syndrome. Journal of Health Psychology, 3, 523-537.
[18] Lehto RH (2007) Causal attributions in individuals with suspected lung cancer:
Relationships to illness coherence and emotional responses. Journal of the
American Psychiatric Nurses Association, 13,109-115.
[19] Sterba KR, and DeVellis RF (2009) Developing a spouse version of the Illness
Perception Questionnaire-Revised (IPQ-R) for husbands of women with
rheumatoid arthritis. Psychology & Health, 24, 473-487.
[20] Buick D, and Petrie KJ (2002) “I know just how you feel”: The validity of healthy
women's perceptions of breast cancer patients receiving treatment,. Journal of
Applied Social Psychology, 32, 110-123.
[21] Del Castillo A, Godoy-Izquierdo D, Vazquez ML, and Godoy JF (2011) Illness
beliefs about cancer among healthy adults who have and have not lived with
cancer patients. International Journal of Behavioral Medicine, 18, 342-351.
[22] Figueiras M, and Weinman, J (2003) Do similar patient and spouse perceptions of
myocardial infarction predict recovery? Psychology and Health, 18, 201-216.
[23] Godoy-Izquierdo D, López-Chicheri I, López-Torrecillas F, Vélez M, and Godoy JF
(2007) Contents of lay illness models dimensions for physical and mental diseases
and implications for health professionals. Patient Education and Counseling, 67,
196-213.
[24] Lykins EL , Graue LO, Brechting EH, Roach AR, Gochett CG, and Andrykowski
MA ( 2008) Beliefs about cancer causation and prevention as a function of
194
personal and family history of cancer: A national, population-based study. Psycho-
Oncology, 17, 967-974.
[25] Moss-Morris R, and Chalder T (2003) Illness perceptions and levels of disability in
patients with chronic fatigue syndrome and rheumatoid arthritis. Journal of
Psychosomatic Research, 55, 305-308.
[26] Sullivan HW, Finney Rutten LJ, Hesse BW, Moder RP, Rothman AJ, and McCaul
KD (2010) Lay representations of cancer prevention and early detection:
Associations with prevention behaviours. Preventing Chronic Disease, 7, 1-11.
[27] Weinman J, Petrie K, Sharpe N, and Walker S (2000) Causal attributions in
patients and spouses following first-time myocardiac infarction and subsequent
lifestyle changes. British Journal of Health Psychology, 5, 263-273.
[28] Weinman J, Heijmans M, and Figueiras M (2003) Carer perceptions of chronic
illness. In Cameron LD and Leventhal H (eds) The self-regulation of health and
illness behaviour. London: Routledge, 207-219.
[29] Hagger MS, and Orbell S (2003) A meta-analytic review of the common-sense
model of illness representations. Psychology & Health, 18, 141-184.
[30] Lobban F, Barrowclough C, and Jones S (2003) A review of the role of illness
models in severe mental illness. Clinical Psychology Review, 23, 171-196.
[31] Kaptein AA, Scharloo M, Helder DI, Kleijn WC, van Korlaar I M, and Woertman M
(2003) Representations of chronic illness. In: Cameron LD and Leventhal H (eds.)
The self-regulation of health and illness behaviour. London, Routledge, 97-118.
[32] Petrie KJ, Weinman J (1997) Perceptions of health and illness. London: Harwood
Academic.
[33] Figueiras M, Marcelino DL, Claudino A, Cortes MA, Maroco J, and Weinman J
(2010) Patients' illness schemata of hypertension: The role of beliefs for the choice
of treatment. Psychology & Health, 25,507-517.
[34] Fongwa MN, Evangelista LS, Hays RD, Martins DS, Elashoff D, Cowan MJ, and
Morisky DE (2008) Adherence treatment factors in hypertensive African American
woman. Vascular Health and Risk Management, 4, 157-166.
[35] Frosch DL, Kimmel S, and Volpp K (2008) What role do lay beliefs about
hypertension etiology play in perceptions of medication effectiveness? Health
Psychology, 27,320-326
[36] Heckler E, Lambert J, Leventhal E, Leventhal H, Janh E, and Contrada R (2008)
Commonsense illness belief, adherence behaviors and hypertension control
among African Americans. Journal of Behavioral Medicine, 31, 391-400.
[37] Meyer D, Leventhal H, and Gutmann M (1985) Common sense models of illness:
The example of hypertension. Health Psychology, 4, 115-135.
195
[38] Ross S, Walker A, and McLeod MJ (2004) Patient compliance in hypertension: role
of illness perceptions and treatment beliefs. Journal of Human Hypertension,
18,607-613.
[39] Schlomann P, and Schmitke J (2007) Lay beliefs about hypertension: An
interpretative synthesis of the qualitative research. American Academy of Nurse
Practitioners, 19, 358-363.
[40] Theunissen NC, de Ridder DT, Bensing JM, and Rutten G E (2003) Manipulation
of patient-provider interaction: Discussing illness representations or actions plans
concerning adherence. Patient Education and Counseling, 51, 247-258
[41] Wilson RP, Freeman A, Kazda MJ, Andrews TC, Berry L, Vaeth PA, and Victor RG
(2002) Lay beliefs about high blood pressure in a low- to middle-income urban
African-American community: An opportunity for improving hypertension control.
The American Journal of Medicine, 112, 26-30.
[42] Moss-Morris R, Weinman J, Petrie K, Horne R, Cameron L, and Buick D (2002)
The Revised Illness Perception Questionnaire (IPQ-R). Psychology & Health, 17,1-
16.
[43] Weinman J, Petrie K, Moss-Morris R, and Horne R (1996) The Illness Perception
Questionnaire: A new method for assessing the cognitive representation of illness.
Psychology & Health, 11, 431-435.
[44] Beléndez R, Bermejo RM, and García-Ayala, MD (2005) Estructura factorial de la
versión española del Revised Illness Perception Questionnaire en una muestra de
hipertensos. Psicothema, 17,318-324.
[45] Karademas EC, Zarogiannos A, and Karamvakalis N (2010) Cardiac patient-
spouse dissimilarities in illness perception: Associations with patient self-rated
health and coping strategies. Psychology and Health, 25, 451-463.
[46] Kaptein AA, Scharloo M, Helder DI, Snoei I, van Kempen GM, Weinman J, van
Houwelingen JC, and Roos RA (2007) Quality of life in couples living with
Huntington’s disease: The role of patients’ and partners’ illness perceptions.
Quality of Life Research, 16, 793-801.
[47] Karasz A, McKee MD, and Roybal K (2003) Women’s experiences of abnormal
cervical cytology: Illness representations, care processes, and outcomes. Annals
of Family Medicine, 1,196-202.
[48] Rees G, Fry A, Cull A, and Sutton S (2004) Illness perceptions and distress in
women at increased risk of breast cancer. Psychology and Health, 19, 749-765.
[49] Kagee A, Le Roux M, and Dick J (2007) Treatment adherence among primary care
patients in a historically disadvantaged community in South Africa. Journal of
Health Psychology, 12, 444-460.
196
[50] Cameron LD (2008) Illness risk representations and motivations to engage in
protective behavior: The case of skin cancer risk. Psychology & Health, 23, 91-
112.
[51] Claassen L, Henneman L, Kindt I, Marteau TM, and Timmermans D (2010)
Perceived risk and representations of cardiovascular disease and preventive
behaviour in people diagnosed with familial hypercholesterolemia: A cross-
sectional questionnaire study. Journal of Health Psychology, 15, 33-43.
[52] Figueiras MJ, and Alves NC (2007) Lay perceptions of serious illnesses: An
adapted version of the Revised Illness Perception Questionnaire (IPQ-R) for
healthy people. Psychology & Health, 22, 143-158.
[53] Selem SS, Castro MA, Galvao CL, Lobo DM, and Fisberg RM (2012) Validity of
self-reported hypertension is inversely associated with the level of education in
Brazilian individuals. Arquivos Brasileiros de Cardiologia. online. ahead print, PP.0
[54] Van Eenwyk J, Bensley L, Ossiander EM, and Krueger K (2012) Comparison of
examination-based and self-reported risk factors for cardiovascular disease,
Washington State, 2006-2007. Prevention of Chronic Disease, 9, 321-332.
[55] Lima-Costa, MF, Peixoto SV, and Firmo, JO (2004) Validity of self-reported
hypertension and its determinants (the Bambuí study). Rev. Saúde Pública,
38,637-642.
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CAPÍTULO 9
ESTUDIO 4
Hypertension representations in a community-based sample
of Southern European non-hypertensive individuals
and related preventive perceptions and behaviours
198
199
Abstract
Personal beliefs about illnesses have received increasing interest because they help in
understanding preventive and therapeutic illness-coping efforts and health outcomes.
The present research is composed of two studies. Study 1 was conducted to explore
illness representations of hypertension (HT) among normotensive Spanish adults.
Study 2 was conducted to explore the associations between HT representations,
perceptions of HT as a risk factor itself and perceived and practiced preventive
behaviours with the aim of testing the relationship illness perceptions-behaviour
predicted by the Self-Regulation Model. A community-based, convenience sample of
normotensive adults was recruited. In study 1, an adapted Brief Revised-Illness
Perception Questionnaire (BRIPQ) was used to assess perceptions on HT. For the
aims of the Study 2, the participants completed the BRIPQ and a series of self-reports
on perceptions of HT as a factor risk for other diseases and perceptions and practice of
preventive behaviours. Results of Study 1 showed that the participants’ beliefs mixed
accurate and folk knowledge. Socioeconomic status (SES) and family experience
influenced the content of HT representations. In Study 2, almost all of the participants
were aware about the severe health problems that HT could generate. Moreover, most
of the participants thought that the proposed behaviours help in avoiding high blood
pressure, though the proportion of participants that practised those actions was
considerably lower. Results also supported that illness perceptions influenced
perceptions on HT as a risk factor for further health problems and preventive perceived
behaviours and practiced efforts. This study allows us to know the perceptions on HT
among non-patients and how these representations influence further perceptions on
the disease, possibilities of prevention and preventive actions in daily life. Our findings
are useful in designing interventions aimed at HT prevention.
Keywords: Hypertension, Non-patients, Self-Regulation Model, Illness Beliefs,
Prevention.
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Introduction
Hypertension (HT), systolic/diastolic blood pressure (BP) ≥140/90mmHg, is a serious
public-health problem in both economically developed and developing nations
(Kearney et al., 2005). The World Health Organization (WHO) in its report "General
Information on HT in the World" states that the prevalence of HT has increased in a
remarkable way worldwide, to the point that currently, 40% of 25-years-old or older
population has an elevated BP (WHO, 2013). In Spain, HT prevalence in the adult
population was around 35% a decade ago, reaching 40% in people in their middle-age
and over 60% in people over 60 (Spanish Society of Hypertension, 2005). More recent
data show even higher rates, affecting up to 47% of men and 39% of women, with
slightly higher prevalence rates in the Southern region of the country (44%) compared
to other regions (Grau et al., 2011; Valdés et al., 2014). Estimations for future rates of
prevalence worldwide are alarming, pointing to an increase by about 60% for 2025
(Kearney et al., 2005). Moreover, as in other nations, in Spain nearly 1/3 of patients
does not know that they are affected by the disease, and only 50% is in treatment, with
only 1 in 3 of men and 1 in 2 women well controlled by therapies (Banegas et al., 2011;
Félix-Redondo et al., 2011; Ortiz et al., 2011). Suboptimal BP control is due to factors
under the control of the health system and the health-care provider (e.g., insufficient
education and motivation to the patient, reluctance to initiate lifestyle changes or drug
treatment) and of the patient (e.g., lack of knowledge and awareness of the relevance
of HT, disagreement with recommendations, failure to comply with recommended
lifestyle modifications, poor medication adherence, emotional distress) (Düsing, 2006;
Khatib et al., 2014). Consequently, a patient-centered approach that tailors
interventions aimed at overcoming barriers to adherence has been encouraged for
optimizing adherence rates and BP control (Krousel-Wood, Hyre, Muntner & Morisky,
2005).
Although HT is not a severe disease by itself, it is considered a “silent killer”
because high BP is an important risk factor for other more serious disorders such as
cardiovascular, kidney, eye or respiratory diseases. Thus, HT is a major source of
morbidity and mortality, and it has been stated as the first risk factor for global disease
burden, explaining 7% of deaths and disability-adjusted life years (Lim et al., 2012). An
added problem is that a significant percentage of individuals, 30-50% of worldwide
population (Banegas, 2005; Guo et al., 2011; Marta et al., 2013; Ostrowski, Artyszuk,
Lewandowski & Gaciong, 2008; Zhang & Li, 2011), has BP levels considered as
prehypertensive (a systolic BP of 120-139 mmHg or a diastolic BP of 80-89 mmHg),
which arises the risk of, among others, cardiovascular events considering the continuity
of the cardiovascular risk over the levels of BP (Huang et al., 2013).
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Illness perceptions on HT
According to the Self-Regulation Model of Common Sense Illness Representations
(SRM) (Cameron & Moss-Morris, 2004; Diefenbach & Leventhal, 1996; Leventhal,
Brissette & Leventhal, 2003; Leventhal & Diefenbach, 1991; Leventhal, Diefenbach &
Leventhal, 1992; Leventhal, Leventhal & Cameron, 2001; Leventhal, Leventhal &
Contrada, 1998; Leventhal, Meyer & Nerenz, 1980; Leventhal, Nerenz & Steele, 1984;
Leventhal et al., 1997), both healthy and ill people construct non-specialised models
about illnesses which comprise a series of cognitive and emotional representations, in
order to create an integrated, comprehensible and meaningful picture of a health-
threatening condition. These illness representations directly influence individuals'
illness-related problem- and emotion-focused coping actions (such as adherence to
medical recommendations and management of sadness), conducted for facing
perceived risks in order to protect their health, or to manage their condition when
already ill for controlling disease-derived consequences and recovering well-being; and
indirectly, by a mediation path of coping, illness representations also influence the
consequences of illnesses (such as quality of life and daily functioning) and the
adjustment to the disease (see French, Cooper & Weinman, 2006; Hagger & Orbell,
2003; Kaptein et al., 2003; Kucukarslan, 2012; Lobban, Barroclough & Jones, 2003;
Petrie & Weinman, 1997; Mc Sharry, Moss-Morris & Kendrich, 2011 for a review).
Although HT is a frequent disease, non-specialised illness beliefs about it have
been examined in a limited number of studies. Research conducted with hypertensive
patients (e.g., Bazán, Osorio, Miranda, Alcántara & Uribe, 2013; Beléndez, Bermejo &
García-Ayala, 2005; Chen, Lee, Liang & Liao, 2014; Chen, Tsai & Chou, 2011; Chen,
Tsai & Lee, 2009; Figueiras et al., 2010; Heckler et al., 2008; Hsiao, Chang & Chen,
2012; Leventhal et al., 1980; Norfazilah et al., 2013; Pickett, Allen, Franklin & Peters,
2014; Ross, Walker & McLeod, 2004) has shown that their representations of the
disease include biomedical knowledge mixed with folk information. In general, evidence
suggest that individuals suffering from HT perceive the disease as a non- or scarcely
symptomatic, but quite stable and highly durable (i.e., chronic) disease that is highly
controllable by both the patient and treatments and that has only a moderate impact on
the patient’s life, although severe consequences for health are acknowledged.
Participants usually also state that they have a moderate to good understanding of the
disease and low or moderate emotional representations linked to it. When concern has
been explored, moderate to high levels of concern have been found among patients.
Although uncontrollable and external factors such as heredity or chance are indicated
as causal factors, HT is strongly related to psychosocial factors, with stress and
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emotional tension standing out, followed by lifestyle and risk behaviours such as
unhealthy diet and substance use.
However, percentages of response also offer interesting information. For instance,
Bazán et al. (2013) found that only 30% perceived themselves as not suffering from
symptoms mostly of the time; 75% of participants affirmed that HT impacts their daily
life, and 73% considered it to be a chronic disease but wished it not to be permanent,
relating it to the experience of symptoms; 94.5% considered HT to be difficult of being
controlled by patients' actions, and 75% referred that their treatment was not
sufficiently efficacious; 30% reported to be continuously concerned about their disease
and 66% reported to be highly impacted in terms of disease-related emotional distress.
However, 99% demonstrated low coherence regarding the illness. Causes were
referred mainly to lifestyle factors, but 90% also indicated heredity.
Research has also indicated that the representations that patients hold impact on
their illness-related behaviours, such as clinical consultations, choice of treatments or
adherence to self-care actions including pharmacologic prescriptions or lifestyle
recommended modifications (e.g., Chen et al., 2009, 2011, 2014; Figueiras et al.,
2010; Heckler et al., 2008; Hsiao et al., 2012; Pickett et al., 2014; Ross et al., 2004).
These findings are supported with quantitative- and qualitative-methodology
research conducted with both adults and the elderly not using the SRM as theoretical
background or the main assessment tools derived from it (e.g., Ayalon et al., 2006;
delaCruz & Galang, 2008; Fongwa et al., 2008; Frosch, Kimmel & Volpp, 2008;
Lukoschek, 2003; Meyer, Leventhal & Guttman, 1985; Schlomann & Schmitke, 2007;
Schoenberg & Drew, 2002; Scisney-Matlock, Watkins & Collins, 2001; Wilson et al.,
2002). Nevertheless, this research has indicated that patients clearly identify BP
elevations with clear symptoms and bodily changes, including headaches, dizziness,
warthm/sweating, irritability/nervousness, heart rate changes, fatigue/weakness,
nosebleeding, etc. Moreover, patients trust on medication and lifestyle modifications as
well as on home remedies (e.g., vitamins, herbs, garlic, vinegar, vegetables and fruits
and other foods and drinks) for treating HT. Thus, a deep inspection of illness
representations demonstrate that their constructions are based on lay perceptions in a
higher extent than on biomedical knowledge.
However, it is important to state that many of these studies have been conducted
with restricted samples such as racial minorities or low income social groups.
Some previous research have also examined the impact of sociodemographic
conditions on HT beliefs. Table 1 summarizes main findings regarding HT illness
representations, demonstrating some, but isolated, influences. However, some other
research has not found any influence of sociodemographic factors (e.g., Figueiras et
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al., 2010). Little, but some, effect of sociodemographic factors has been found also for
other illnesses (e.g., Anagnostopoulos & Spanea, 2005; Del Castillo, Godoy-Izquierdo,
Vázquez & Godoy, 2011; Heijmans & De Ridder, 1998; Lau-Walker, 2004; Lehto, 2007;
Sterba & DeVellis, 2009; Wang, Miller, Egleston, Hay & Weinberg, 2010). Regarding
experience with the disease, Norfazilah et al. (2013) found that family history with HT
was related to higher B-IPQ global score. Heckler et al. (2008) established no
differences due to personal experience (years with the disease), while Picket et al.
(2014) found that people with longer experience with the disease (years with diagnosis)
were found to hold stronger beliefs just on duration. Having suffered from the disease
or having an ill relative consistently emerges as a relevant contributor to illness
representations for physical illnesses (e.g., Anagnostopoulos & Spanea, 2005; Buick &
Petrie, 2002; Del Castillo et al., 2011; Dempster et al., 2001b; Figueiras & Weinman,
2003; Heijmans & De Ridder, 1998; Heijmans, De Ridder & Bensing, 1999; Juth,
Cohen, Silver & Sender, 2015; Lau-Walker, 2004; Lykins et al., 2008; Moss-Morris &
Chalder, 2003; Orbell et al., 2008; Weinman, Heijmans & Figueiras, 2003; Weinman,
Petrie, Sharpe & Walker, 2000).
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Table 1. Influence of sociodemographic conditions on HT representations of patients.
Study Sample Age and gender Education and income Ross et al. (2004)
Patients from UK
Older < younger: consequences, personal control and emotional impact Older > younger: treatment control Men > women: consequences, personal control and causal attributions to general risk factors including behaviour
No differences were established due to education level
Hsiao et al. (2012)
Patients from Taiwan
Older > younger: duration, consequences and illness-related emotional distress Men > women: personal control
No differences were established due to education level
Chen et al. (2011, 2014)
Patients from Taiwan
Age was negatively related to illness identity and causes Men < women: identity and causal attributions to balance of internal-external forces Men > women: personal control and causal attributions to risk factors
Heckler et al. (2008)
Afro-American patients
Older < younger: consequences and causal attributions to stress-related factors Men < women: consequences and causal attributions
Higher < lower education: identity
Picket et al. (2014)
Afro-American patients
No differences were established due to age Men < women: causal attributions to stress-related factors Men > women: causal attributions to behavioural causes and chance
Education level influenced only some causes perceptions (e.g. tobacco use) No differences were established due to income
Pérez (2014) Hispanic patients from USA
Older > younger: duration, personal and treatment control and coherence No differences were established due to gender
Higher < lower education: identity, consequences and global score Higher > lower income: duration, personal control and coherence Higher < lower income: identity and global score
Beléndez et al. (2005)
Patients from Spain
Men > women: causal attributions to behavioural factors Men < women: causal attributions to psychological factors Older < younger: identity and causal attributions to psychological and stress-related factors
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Moreover, research on HT beliefs among healthy individuals is very sparse and the
findings are inconclusive. Meyer et al. (1985) interviewed individuals with and without
HT to know their perceptions on identity, duration, physiological explanations and
causal attributions of BP elevations. However, only representations on symptoms were
assessed in non-sufferer participants. They found that both normotensive (46%) and
hypertensive (>85%) participants believed that elevations in BP are associated with
symptoms such as headache, dizziness, warmth, nervousness or heart changes, and,
consequently, these manifestations can be used to monitor BP elevations, even when
abstractly they perceived HT as a quite asymptomatic disease. Compared to non-
patients, more patients identified symptoms with BP elevations and did it more
frequently the longer they had been diagnosed as having the disease. Moreover,
patients considered the disease as long-lasting (43%) than a curable and short-lasting
condition (24%), with one third considering it a cyclical disease (32%); it was also
perceived as caused by a variety of behavioural (indicated by aprox. 1/3 of participants)
and psychosocial (aprox. 1/4) conditions, such as stress, work or family problems and
diet; heredity was also referred (aprox. 1/5).
Wilson et al. (2002), with individual and focus group interviews, assessed beliefs
about meaning, consequences, causes and treatment of HT of individuals in a low- to
middle-income urban African-American community including hypertensive patients and
healthy people, finding many misconceptions on HT. The disease was perceived by
most of the participants, with no discrimination between healthy and hypertensive
participants, as symptomatic (e.g., headache, dizziness, fatigue/weakness), caused
mainly by stress, heredity and eating habits (only 15% related it to an elevated BP) and
treatable with medication and lifestyle changes as well as with vitamins, specific foods
and drinks or home remedies. Wilson et al. (2002) also found that the older the age,
the higher the awareness of HT as a risk factor for premature death, although this
knowledge was lower than desirable; younger participants underestimated mortality
associated to HT. None of both studies explored other possible influences of
sociodemographic factors.
To our knowledge, only two studies have been conducted with Spanish samples in
order to know illness beliefs about HT. Godoy-Izquierdo, López-Chicheri, López-
Torrecillas, Vélez & Godoy (2007) found that most of the participants (approximately
2.5% suffering or having suffered from HT, and 43.5% living or having lived with a
hypertensive patient) believed that HT is a serious disease (53.6% of participants) with
no evident bodily symptoms, which has a notable impact on patient´s life (65.9%) and a
long-lasting or chronic timeline (48.8%), yet not permanent (75.6%), with changes over
time (54.1%) and relapses (44.5%). It was viewed as highly controllable by the patient
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(75.6%), amenable to a cure (68.8%), mainly of pharmacologic type (65.3%), and
preventable (60.6%). A high percentage of participants thought that HT was caused by
psychological factors, such as stress/emotional arousal (67.1%), one's own behaviour
(34.4%) or lack of rest (40.9%); however, percentages of agreement with changing
behaviour for managing HT were more reduced. Nevertheless, no other descriptive
data were reported and no comparison between patients and non-patients was
conducted for HT isolated from other diseases. Besides, no exploration of
sociodemographic factors was conducted in regards to HT illness representations.
More recently, Del Castillo, Godoy-Izquierdo, Vázquez & Godoy (2013) explored
illness representations about HT in individuals not suffering from HT who has ever
(38.5%) or had not ever lived with a patient suffering from this illness. Participants
perceived HT as a scarcely symptomatic (e.g., fatigue, tachycardia, dizziness),
moderately stable but long-lasting disease that is highly controllable by both the patient
and, in a lesser extent, available treatments, and that has only a moderate impact on
patient’s life. Participants (>75% of participants) frequently indicated behavioural and
psychological factors, such as eating habits, stress, substance abuse (e.g., smoking,
alcohol intake), as possible causes. Uncontrollable causes, such as ageing (8 out of
ten) or heredity (7 out of ten), were also indicated. Moreover, half of participants
affirmed that they had a poor understanding of the disease, although average scores
indicated a moderate-to-good comprehension of the disease as a whole. Regarding the
emotional representations, participants did not feel particularly worried, fearful or sad
when thinking about suffering from this disease, indicating a moderate illness-related
emotional impact. Del Castillo et al. (2013) also found that sociodemographic variables
had little influence on HT representations, with only a few significant differences
emerging for age (younger people perceived more symptoms and lower personal
controllability than older people), gender (women perceived less consequences than
men) and educational level (people with no formal education or Primary studies
perceived lower symptoms, duration and personal and treatment controllability than
people with higher education level).
Moreover, both studies support the relevance of experience with the disease on
the contents of illness representations. Godoy-Izquierdo et al. (2007) found that the
illness cognitions of participants who had either personal experience of the disease or
a diagnosed relative were significantly different from those of participants without such
a direct or family experience, with patients or relatives of patients demonstrating more
benevolent cognitions (i.e., less seriousness, long-lasting timeline, cyclical course and
consequences, higher controllability, preventability, curability and behavioural
causality). However, several diseases were explored simultaneously. Del Castillo et al.
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(2013) found that personal experience (i.e., living with a patient) demonstrated a
relevant influence on HT representations; it emerged as the unique predictor of illness
perceptions (i.e., higher global score on IPQ-R) and led people, compared with those
not having this experience, to hold in general more positive HT representations for
controllability, apparent or false predictability and emotional impact (i.e., stronger
perceptions of changeability and personal and treatment control, lower emotional
impact).
Findings obtained with non-hypertensive individuals are consistent in many
respects with those from hypertensive patients (e.g., Bazán et al., 2013; Beléndez et
al., 2005; Chen et al., 2009, 2011, 2014; Figueiras et al., 2010; Heckler et al., 2008;
Hsiao et al., 2012; Norfazilah et al., 2013; Pickett et al., 2014; Ross et al., 2004), but
they differ particularly on the identity dimension, as some previous evidence points that
patients have a weaker perception that high BP manifests through bodily symptoms.
Moreover, findings obtained with both patients and, particularly, non-patients reflect
that HT representations were generally accurate but sometimes they differed from
medical knowledge and were based on common sense, cultural beliefs and folk
knowledge, with in general a poor to moderate self-reported comprehension of the
disease, particularly among non-patients.
Illness representations, perceptions of risks and preventive efforts
Given the prevalence of HT and the important health risks related to this silent
killer, HT prevention is a major public health challenge. If rises in BP are prevented or
diminished, many of HT diagnoses and derived risks could be avoided. Dickinson et al.
(2006), in a review of randomized controlled trials about lifestyle interventions to reduce
raised BP, found that controlling diet, doing aerobic exercise, restricting alcohol and
sodium consumption and taking fish oil supplements are effective ways to reduce BP in
HT patients.
A number of controllable risk factors for HT have been well-established, including
lifestyle and behaviour-related factors such as excessive body weight, suboptimal
dietary pattern, high dietary sodium and low dietary potassium, reduced physical
activity, smoking and excess alcohol intake (Chobanian et al., 2003; Dikinson et al.,
2006; Forman, Stampfer & Curhan, 2009; Frisoli, Schmieder, Grodzicki & Messerli,
2011; Geleijse, Kok & Grobbee, 2004; Liu et al., 2012; Lloyd-Jones et al., 2010;
Mozaffarian, Wilson & Kannel, 2008; Perk et al., 2012; Schuit, Van Loon, Tijhuis &
Ocké, 2002; WHO, 2013). Furthermore, emotional-distress risk factors have been also
identified, including stress (Babu et al., 2014; Backé, Seidler, Latza, Rossnagel &
Schumann, 2012; Chida & Steptoe, 2010; Gasperin, Netuveli, Soares & Pattussi, 2009;
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Landsbergis, Dobson, Koutsouras & Schnall, 2012; Nagele et al., 2014; Rainforth et al.,
2007; Sparrenberger et al., 2009), anxiety (Olafiranye, Jean-Louis, Zing, Nunes &
Vicent, 2011; Player & Peterson, 2011) and depression (Meng, Chen, Yang, Zheng &
Hu, 2012; Nabi et al., 2011), although it may be the occurrence of recurrent episodes
(Nabi et al., 2011; Wiehe et al., 2006) or the antidepressant treatments, not depression
itself, the causal factor (Delaney et al., 2010; Licht et al., 2009). Those risk factors are
present not only at the adulthood but many years before (Kann et al., 2014; Moreno-
Gómez et al., 2012).
The prevalence of these risk factors for HT in the general population is high. The
WHO (2013) has stressed that the arise in the incidence and prevalence of HT
worldwide may be explained by the higher incidence of these lifestyle risk factors,
along with the population increase and their progressive higher longevity. In order to
prevent BP levels from rising, primary and secondary prevention should be introduced
to reduce or minimize these causal factors in the population, particularly in individuals
with prehypertension (Guo et al., 2011). A community approach that decreases BP
levels in the general population by even modest amounts has the potential to
substantially reduce morbidity and mortality or at least delay the onset of HT and
derived health threats (Chobanian et al., 2003). Despite recommendations regarding
lifestyle change for HT prevention coming from several institutions and professional
associations, there is limited research focused on primary prevention of HT and factors
associated to behavioural change.
An important issue directly related to prevention is the perception of risks linked to
an illness. Illness risk representations are distinct from illness representations in that
they develop from the process of matching characteristics of the self with illness
representation attributes (Cameron, 2008). Following Cameron (2008), the attributes of
identity, cause and timeline serve as the basis for the generation of likelihood
estimates; the attributes of consequences and controllability may serve as the basis for
severity estimates; and control over prevention may be an additional, unique attribute
of illness risk representations. According to the SRM, it is expected that healthy people
avoid risks, seek medical care, undergo medical exams or screening tests or adopt
new healthy behaviours if they perceive a disease as preventable by their efforts (e.g.,
Figueiras & Alves, 2007; Niederdeppe & Gurmankin, 2007; Sullivan et al., 2010). It is
also expected that more accurate beliefs will lead non-patients to carry out more
appropriate and beneficial behaviours to face illnesses before a diagnosis is given
(Cameron & Moss-Morris, 2004; Cameron & Leventhal, 2003; Leventhal et al., 1980,
1998, 2003, 2011). Research exploring beliefs about an illness in physical diseases
and related preventive behaviours is sparse and conducted mostly with risk
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populations, including cardiovascular diseases (CVD) (e.g., Ali, Shonk & Saleh El-
Sayed, 2013; Andersson, Sjöberg, Öhrvik & Leppert, 2009; Chauan et al., 2007;
Claassen, Henneman, Van der Weijden, Marteau & Timmermans, 2012; Collins et al.,
2004; Keller et al., 2013; Lee, Cameron, Wunsche & Stevens, 2011; McFall,
Nonneman, Rogers & Mukerji 2009; Murray, Murphy, Clements, Brown & Connolly,
2013; Sabzmakan et al., 2014; Zlot, Valdez, Han, Silvey & Leman, 2010). Some of
these studies have used the SRM as theoretical frame and have explored the role of
illness perceptions on preventive actions (e.g., Claassen et al., 2012; Lee et al., 2011;
Murray et al., 2013; Sabzmakan et al., 2014). In summary, individuals have limited
knowledge and awareness of their risk of suffering from HT and insufficient preventive
behaviours, but perceived risk and favourable attitudes to preventive efforts as well as
stronger perceptions of their efficacy as preventive behaviours more likely translate into
the adoption of preventive actions.
Regarding HT prevention in non-hypertensive population, research is scarce and
has been conducted mainly with samples limited in their characteristics such as
minorities (e.g., Aroian, Rosalind, Rudner & Waser, 2012; Gopinath et al., 2014;
Newell, Modeste, Marshak & Wilson, 2009; Peters, Aroian & Flack, 2006; Savoca et
al., 2009). It shows that, supporting evidence on CVD prevention, family experience,
culture, age and gender influences should be considered. Findings have pointed out
that, in general, this population is moderately aware about risk factors for HT and
health threats linked to HT and how to prevent the disease, but do not change their life-
style in order to avoid HT due to several perceived barriers such as perceived difficulty
and lack of resources, low self-efficacy or the negative influences of several factors
such as family experience with the disease, culture or family and social support (Aroian
et al., 2012; Gopinath et al., 2014; Newell et al., 2009; Peters et al., 2006; Savoca et
al., 2009). Nevertheless, none of these studies explored illness representations based
on the SRM and their possible influence on preventive perceptions and efforts.
Aims of the present research
The present research is composed of two studies. Study 1 was conducted to
explore illness representations of HT among normotensive Spanish adults who differ in
their family experience with the disease (i.e., some of them have ever lived with a
hypertensive relative, the remaining do not have ever had any relative affected by HT).
Based on previous findings (Del Castillo et al., 2013; Godoy-Izquierdo et al., 2007), we
expected to find both folk- and biomedical-based representations, and that, compared
to sociodemographic conditions such as age, gender and education level, family
experience with the disease powerfully contributes to illness cognitive and emotional
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constructions. Given the controversy on the influence of sociodemographic factors, we
did not propose specific hypotheses. For family experience, we expected, based on Del
Castillo et al. (2013), that participants with family experience would endorse more
positive representations of HT. This study was, thus, conducted to replicate previous
findings on the contents of illness perceptions with an European population using a
broader and more heterogeneous sample than previous studies with Spanish samples,
and both the original IPQ-R (Moss-Morris et al., 2002) and a shorter, adapted brief
IPQ-R version derived from it. We also expected to replicate previous findings about
the impact of sociodemographic factors and family experience on the representations
of HT specifically among healthy people.
Study 2 was conducted to explore the associations between HT representations,
perceptions of HT as a risk factor itself for further health problems and perceived and
practiced preventive behaviours with the aim of testing the relationship illness
perceptions-behaviour predicted by the SRM. As we have detailed before, no study has
addressed the relationship between illness perceptions and preventive behaviours in
non-hypertensive, healthy general population. Nonetheless, based on previous findings
with diverse illnesses (Claassen et al., 2012; Lee et al., 2011; Murray et al., 2013;
Sabzmakan et al., 2014) and specifically with HT (Aroian et al., 2012; Gopinath et al.,
2014; Newell et al., 2009; Peters et al., 2006; Savoca et al., 2009) we expected an
influence of the participants’ beliefs about HT in their preventive perceptions and
behaviours. Specifically, we predicted that participants who stated main causes of HT
as related with controllable factors such as their own behaviours, or hold
representations related with higher possibilities of personal control over the onset or
prognosis of the disease, would perceive HT as more preventable and, consequently,
would more likely accept and engage in preventive behaviours in their daily life. We
also predicted that stronger beliefs about identity (i.e., symptoms), consequences,
chronicity, stability and coherence and more negative feelings of worry or anxiety would
be associated to a higher perception of and engagement in preventive behaviours. On
the contrary, we expected that the stronger the perceptions of treatment control, the
lower the efforts invested in preventing HT.
On the other hand, to our knowledge there is no study on perceptions of HT as a
risk factor for other diseases. Consequently, we addressed this issue specifically. We
expected that more negative illness perceptions will contribute to the perception about
potential health risks linked to suffering from HT, and this in turn, to the perception and
engagement in more preventive behaviours.
Finally, we also expected that older participants, those with higher educational
level and those with higher family experience would perceive more potential health
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risks linked to HT and more possibilities of prevention and, consequently, would more
likely engage in daily efforts to prevent this illness.
Methods
Participants
A community-based, convenience sample was recruited at random from private
households and community settings such as public transport stations, workplaces,
parks, healthcare service delivery locations, academic centres and shopping centres. A
total of 450 adults (72.7% women) 18 to 68 years old (M= 36.34, SD= 14.63)
participated in this research. Table 2 displays their most relevant characteristics.
Participants were mostly of a young age, with almost a half aged between 18-28 years
old. We synthesised education level, occupational status and family income in an
overall index and derived a composite socioeconomic index for socioeconomic status
(SES)1. Participants were mainly medium SES level. At the time of the study, none of
the participants had ever suffered from HT, although they reported to suffer from other
chronic diseases (22.9%, see Table 2), and 58% had ever lived (11.8%) or were
currently living (46.2%) with any relative who had HT.
1Criteria for each SES level were as follows: 1) Low: a) no studies, primary or secondary school or vocational training, any work status (particularly domestic work, unemployment or retirement) and monthly family income up to 2000 euros, or b) unemployment with low income level, irrespective of educational level (this group contained mainly participants with low education level and low income level); 2) Medium: a) no studies, primary or secondary school or vocational training, any work status (particularly studying, employment or retirement) and monthly family income higher than 2000 euros, or b) university studies (any grade), any work status and monthly family income lower than 2000 euros (this group contained mainly participants with low-to-medium education level and high income level, or with high education level and low income level); 3) High: a) university studies (any grade), b) studying, employment or retirement, and c) monthly family income higher than 2000 euros (this group contained mainly participants with high education level and high income level who were studying, employed or retired). These criteria allowed to form three levels of SES which corresponded to SES levels in Spain derived from social indicators such as family income, occupation and education level according to data from the National Institute of Statistics (INE, 2012), and by which approximately 24.5-26.5% of Spanish citizens would have a low SES level, 45.5-52.5% would have a medium SES level, and 23-28% would have a high SES level. We decided to compute in indicator of SES because this measure of an individual’s or family’s economic and social position based on education, income, work status or occupation is considered a strong predictor of health-related factors, including health-related behaviours, risk factors and health outcomes (e.g., health problems, mortality, incapacity).
212
Table 2: Socio-demographic data.
Variable % Age ranges 18-28 47.8
29-48 21.7 49-68 30.5
Marital status
No current relationship, of which Single Separated/Divorced Widow
30.2 20.9 6.7 2.7
Short-term relationship (< 1 year) 7.3 Long-term relationship (> 1 year) 62.4
Socioeconomic status Low 25.3 Medium 48.4 High 26.2
Educational level (highest completed level)
No formal education 1.1 Primary school 11.1 Secondary school and other formal education
11.1
Vocational training 9.3 University-Grade 63.6 University-Postgrade 3.8
Occupational status Housework 8.2 Unemployed 8.7 Student 46.9 Retired 2.9 Employed 33.3
Monthly family income < 1000 euros 21.1 1000-2000 euros 43.8 2000-3000 euros 24.9 >3000 euros 10.2
Relative with HT Yes, currently 46.2 Yes, in the past 11.8 No 42
Relative patient kinship (more frequently reported)
Mother 20.6 Father 20.5 Grandfather/Grandmother 19.1 Brother/Sister 5.4 Uncle/Aunt 2.6 Intimate partner/Spouse 1.8
213
Table 2: (Continued).
Physical or mental disease at the time of the study
No 77.1
Yes, of which 22.9 Type of illness (Remaining illnesses were indicated by less than 1%)
Hypothyroidism, hyperthyroidism 4.5 Cardiovascular diseases, including hypercholesterolemia, hypertriglyceridemia, myocardial infarction, valves disease, arrhythmia...
4
Osteoporosis, arthritis, bone problems... 3.1 Pain, chronic pain, headaches... 2 Digestive system diseases, including irritable bowel syndrome, ulcerative colitis, gastroesophageal reflux disease, hiatal hernia...
2
Depression 1.7 Anxiety 1.5 Respiratory problems, including asthma... 1.2 Gynaecological problems, including ovarian cysts, endometriosis, miomas...
1
Dermatologic diseases, including atopic dermatitis, eczema, psoriasis, acne...
1
Under any kind of therapy
No 75.6 Yes, of which 24.4
Type of therapy (more frequently reported)
Oral contraceptives 5 Drugs for thyroid problems 3.8 Anxiolytics 2.2 Vitamins (A, B group) and minerals (calcium, iron, iodine)
2
Antidepressants 1.6 Drugs for hypercholesterolemia 1.4 Drugs for asthma 1 Psychotherapy 1 Corticoids 0.8 Analgesics 0.4 Non-steroidal anti-inflammatory drugs 0.4 Anticoagulants 0.4 Drugs for cardiovascular diseases 0.4 Drugs for osteoarthritis 0.4
Measures
Participants completed the IPQ-R (N= 162, 36% of the total sample) or a brief
version derived from the IPQ-R (N= 288, 64%) in order to report their cognitive and
emotional representations on HT (Study 1). Participants also completed other self-
reports that were specifically constructed for this research with the aim of exploring
their perceptions about HT as a health risk factor as well as possible risks derived from
HT, their perceived preventive behaviours for avoiding or reducing the risk of suffering
214
from HT and their practiced preventive behaviours for avoiding or reducing the risk of
suffering from HT (Study 2).
Illness perceptions:
Illness beliefs about HT were explored using a Spanish modified version of the
Revised Illness Perception Questionnaire (IPQ-R) by Moss-Morris et al. (2002), which
was adapted to assess illness perceptions on HT among healthy people (Del Castillo et
al., 2013). A brief IPQ-R (BIPQR) was derived based on psychometric and content
analyses (Godoy-Izquierdo et al., in preparation) in order to assess HT representations
in a faster and easier way, given the extension of the assessment protocol for the aims
of the Study 2. For equality purposes, only the items included in the BIPQR (i.e.,
completed by all the respondents) were used in the analyses in the present research.
Both the IPQ-R and the BIPQR evaluate nine dimensions from Leventhal and
colleagues’ SRM model and research findings: Identity (symptoms associated with the
illness and label); Timeline (duration and chronicity); Evolution (course and temporal
changeability or fluctuation of the illness and symptoms); Consequences (effects of the
illness on an individual’s lifestyle, health and well-being); (Lack of) Personal Control
(personal influence on preventing and managing the disease); (Lack of) Treatment
Control (availability and efficacy of treatments to manage or cure the disease and its
symptoms); (Lack of) Illness Coherence (perceived personal understanding of the
disease); Emotional Representations (emotional impact of the disease); and Aetiology
or Causes (e.g., psychological, behavioural, biological, chance and external causes of
the disease). For the aims of the present research, two items assessed each of the
SRM dimensions and a total of 21 possible symptoms of HT (some of them not
corresponding to high BP manifestations to identify possible tendency of response) and
19 possible causes of the disease were included (items in each subscale are indicated
in Table 3).
For all of the dimensions except identity, the respondent must express his(her)
level of agreement with a series of statements (e.g., “This illness has major
consequences on patient's life”) or causal attributions (e.g., "One's own behaviour") on
a Likert-type scale with five alternatives (from 1= “Strongly disagree” to 5= “Strongly
agree”). In the causes dimension, a statement of "I don't know/I'm indecisive" was
included. A blank question was also used for asking the participants to freely indicate
the three more relevant causes of HT for them (info not used in this research). Partial
scores were obtained as the mean of the scores for the items on each subscale
(considering direct and reverse items, see Table 3), with higher scores indicating
stronger beliefs about chronicity, cyclical course, impact and outcomes, causal factors'
215
influence and emotional reactions to the disease, as well as poorer perceptions of
personal influence and cure possibilities and perceived understanding of the disease.
For the aims of calculating a global score, items belonging to the dimensions of
personal control, treatment control and coherence were all reversed (e.g., Figueiras et
al., 2010). For the identity dimension, answers to whether each in a series of symptoms
was perceived as characteristic of the disease or not were examined. The higher the
score, the more symptomatic the disease is perceived to be.
A global score in the BIPQR was calculated by summing the answers to all items
excepting those from causes subscale, with higher scores reflecting stronger illness
representations of the disease as a severe, symptomatic, uncontrollable, durable and
unstable disease as well as un-understandable disease, with higher impact on the
patient's health and life and higher power to generate emotional reactions.
Following previous suggestions (Moss-Morris et al., 2002; Weinman, Petrie, Moss-
Morris & Horne,1996), we modified the IPQ-R to make it more complete, easier and
better fitted to HT (see Del Castillo et al., 2013, for details). Furthermore, each
reference to “my” illness was substituted by “the” illness or “hypertension”. The BIPQR
used herein also included the following changes on the original, large IPQ-R. For the
identity subscale, six new symptoms were added: heat, perspiration; flushing of face
and neck; seeing problems; bleedings; confusion, disorientation; and ringing in the
ears. The remaining dimensions except causes were summarized in two items per
subscale, those considered as more representative of each dimension based on both
content and psychometric analytical procedures (Godoy-Izquierdo et al., in
preparation). Causes subscale was similar in both tools.
The psychometric properties of the IPQ-R have been previously demonstrated
among English-speaking and Spanish populations (Del Castillo et al., 2011; Moss-
Morris et al., 2002), as well as in the context of HT with Spanish populations (Beléndez,
et al., 2005; Del Castillo et al., 2013; Pacheco-Huergo et al., 2012).
We decided to use our own brief IPQ-R instead of the Brief IPQ proposed by
Broadbent et al. (2006) because of some psychometric limitations of the latter that
have been pointed out. Concurrent validity with the IPQ-R regarding personal control
and treatment control dimensions (Broabdent, Petrie, Main & Weinman, 2006; De
Raaij, Schröder, Maissan, Pool & Wittink, 2012; French, Van Oort & Schröder, 2011)
and convergent validity between the Brief IPQ and other measures (Bazzazian &
Besharat, 2010; Lochting, Garrat, Storheim, Werner & Grotle, 2013) have been
questioned. Moreover, there is no evidence of discriminant validity of the instrument
(French et al., 2011) and it may lack of content validity (French et al., 2011; Van Oort,
Schröder & French, 2011).
216
Perceptions of HT as a risk factor:
For the aims of the Study 2, the participants had to state whether they considered
that untreated HT might be a risk factor for other diseases (0= No, 1= Yes, for non-
severe diseases; 2= Yes, for both non-severe and severe diseases). Then, a list with
nineteen diseases or health problems (see Table 5) which could be related to HT or not
was presented to participants and they had to say whether those problems were
related to HT or not (Yes/No). A blank question was added for the participants to
indicate any other disease/s not mentioned in the list (not included in the analyses
because nobody indicated an illness previously not mentioned). The information
presented in this section was obtained from several medical bibliographic sources.
Perceptions of preventive behaviours and practice of preventive behaviours:
According to the aims of the Study 2, we also assessed participants' perceptions
about preventive behaviours and their preventive actions in their daily life (with the
specific aim of preventing HT). Two lists composed of the same fifteen behaviours (see
Table 6) were presented. In the Perceived Preventive Behaviours Scale, participants
must express his or her level of agreement on a Likert-type scale with eleven
alternatives (0= “nothing at all”, from 1= "very little" to 10= “very much”) depending on
their perception about the preventive character of each behaviour (i.e., perceived
efficacy of the action for preventing HT). In the Practiced Preventive Behaviours Scale,
they had to indicate their performance of each behaviour in their daily life on a Likert-
type scale with eleven alternatives (0= “no practice”, from 1= "very little" to 10= “very
much”). As in the HT as a Risk Factor section, information for these sections was
obtained from several medical bibliographic sources.
Sociodemographic data:
Participants also indicated their age, gender, nationality, marital status, education
level, work status and income level. They also reported current diseases and therapies
undergone (of any nature), and whether they had ever suffered from HT. Participants
were also asked to indicate whether any relative with whom they had ever lived was
ever diagnosed with HT or was affected by HT at the moment of the study and their
kinship, as well as whether (s)he was under any kind of treatment and his(her)
adherence to prescriptions.
Procedure
For both Study 1 & Study 2, after the research was approved by the institutional
research ethics committee, participants were asked to take part voluntarily and to sign
an informed consent form. They had been informed previously that the general
217
objective of the research was to learn their beliefs about HT and not to gauge their
level of knowledge. Specific instructions for completing the questionnaires were given.
In both studies, a community-based convenience sample was constructed (i.e.,
people suffering or having suffered from HT were discarded). Three housing buildings
and several community settings per district were selected at random with a local
telephone directory. A person in one of every three possible households and one of
every three people in the public settings were asked to participate and followed the
above-mentioned procedure when they accepted.
Study design and statistical analyses
This is a cross-sectional, correlational study based on self-report data. After
checking parametric assumptions, descriptive, univariate and multivariate analyses
were conducted. Univariate Pearson correlations were used to explore associations
among the variables of the study. Multivariate hierarchical multiple linear regression,
using the method of stepwise selection, was applied to identify independent predictors.
Results
Non-specialised beliefs about HT
To establish the contents of illness models for HT in detail, descriptive data and
the percentages of responses for each item were obtained (see Table 3).
218
Table 3: Percentages of agreement responses and descriptive results for each
subscale.
Dimensions %
Identity (0-21 a) (perceived symptoms of HT) M= 12.03, SD= 3.75; R= 0-21
Tachycardia b Headaches Fatigue, tiredness Heat, perspiration b Dizziness, vertigo b
Emotional distress (sadness or anxiety) b
Seeing problems (blurry vision, flashes...) b Flushing of face and neck b Pain anywhere b
Sleep difficulties Breathlessness, respiratory problems b
Bleedings b
Weakness, loss of strength b
Mobility difficulties b, stiff joints, soreness Confusion, disorientation b Ringing in the ears b Nausea Stomach/intestine problems b Delirium and hallucinations b Weight loss Fever
92.4 c 86.9
81.1 80.2 76.4 71.6 70.0 69.1 67.8 65.8 62.7 58.2 55.1 54.4 54.4 43.1 33.8 32.4 16.9 16.4 14.4
Duration (acute/chronic) (1-5 a) M= 3.16, SD= 0.84; R= 1-5
1. Changes and symptoms of HT are likely to be long-lasting rather than temporary but they pass 2. Symptoms of HT are for life (they are permanent, they don’t pass)
47.8 d
44.8
Evolution (timeline-cyclical) (1-5 a) M= 3.12, SD= 0.95; R= 1-5
4. The symptoms of HT go through cycles in which they get better and worse 3. The symptoms of HT change a great deal from day to day
62.9 d
29.6
Consequences (1-5 a) M= 3.15, SD= 0.83; R= 1-5
5.This illness has major consequences on patient's life or health 6. This illness strongly affects the way others see and relate to patients
83.8 d
13.7
(Lack of) Personal Control (1-5 a) M= 1.73, SD= 0.74; R= 1-5
7.There is a lot which patients can do to control and manage their symptoms (REVERSE) 8. What patients do determines whether their disease gets better or worse or has more or less impact in their life and health (REVERSE)
5.8 d
3.1
(Lack of) Treatment Control (1-5 a) M= 1.96, SD= 0.69; R= 1-5
9. There are treatments which effectively relieve or control the symptoms and changes of HT (REVERSE) 10. Negative conditions and effects of HT can be prevented (avoided) by doing something or through a treatment or intervention (REVERSE)
8.8 d
3.6
(Lack of) Illness Coherence (1-5 a) M= 2.66,SD= 1.01; R= 1-5
12. I have a clear picture or understanding of this disease (REVERSE) 11. The illness is difficult to understand for me
27.9 d
24.4
Emotional Representations (1-5 a) M= 2.14, SD= 1.05; R= 1-5
13.When I think on this disease I get upset 14. I get depressed when I think I have or may have this disease
19.6 d 8.4
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Table 3: (Continued).
Causes(1-5 a)
Diet, eating habits Smoking Alcohol consumption
Hereditary, genetic Stress or worry Ageing Overwork One’s own behaviour and habits One’s own emotions and moods Family problems or worries One’s own mental attitude and thoughts Poor medical care in the past One’s own personality Accident or injury Pollution, environmental contamination Immunity problems Chance, bad luck Other people Germs or viruses
92 d 91.5 91.3 87.2 84.4 78.9 76.3 72.4 64.6 63.9 49.9 47.2 38.5 22.1 21.5 17.9 12.3 10.7 2.5
Footnotes: Internal reliability of the BIPQR: Cronbach’s alfa=0.74. Range of possible
responses: Identity subscale: 1=Yes, 0=No; Remaining subscales: 1=”Strongly
Disagree”-5=”Strongly agree”. a Minimum and maximum possible score in the BIPQR
subscales. b Symptoms added to the Spanish version of the IPQ-R and to the BIPQR. c
Percentage of people answering “Yes”. d Percentage of people answering “Agree” plus
“Strongly agree”.
Participants perceived HT as moderately symptomatic, with 1 in 2 participants
indicating several symptoms. Some characteristic and bodily located signs such as
tachycardia, headaches, fatigue/tiredness, heat and perspiration, dizziness/vertigo,
seeing problems and flushing of face and neck were pointed out by 70% of participants
or more. Seven in ten participants thought that HT generates emotional distress such
as sadness or anxiety.
Moreover, HT is seeing as a moderately long lasting and cyclical disease with
symptoms that get better and worse over time. HT is considered by participants as
highly controllable by patients’ actions and behaviours, and they also showed high
confidence in available therapeutic interventions to control the disease. Participants
also perceived that HT affects patients’ daily life (84%) but not how the patient is
viewed and treated by others, and reported to have a moderately meaningful
understanding of what HT is, with 25% of participants indicating poor understanding.
On the other hand, they didn’t show high emotional distress linked to the possibility of
suffering from the disease. Causes more frequently chosen by the participants were
those related to personal behaviour and lifestyle, like diet and eating habits, smoking or
220
alcohol consumption. Indeed, one’s own behaviours and habits was chosen by 72.4%
of the participants as a causal factor for HT. Stress or worry and one’s own emotions
and moods were also perceived as important in the development of HT frequently.
Uncontrollable causes such as heredity or ageing were also pointed out.
Predictors of HT perceptions
A hierarchical multiple linear regression analysis (stepwise) was conducted in
order to explore the sociodemographic predictors of illness perceptions on HT. In a first
step, total score in the BIPQR was regressed on sociodemographic variables; in a
second step, family experience with the disease was introduced in the analysis. While
age, gender and marital status did not predict the global score on the illness
perceptions questionnaire, SES level emerged as a significant predictor in the first
step, and remained as such along with family experience with the disease (marginally
significant) in the second step. Table 4 shows the findings. The higher the SES level
and the stronger the family experience with the disease, the weaker the perceptions of
HT as a severe, durable, impacting and uncontrollable disease.
Table 4: Sociodemographic predictors of BIPQR global score.
Final model
Adj. R2= 0.021;
F= 5.920, p= 0.003
Unstand. Coef. Stand.
Coef.
t p
B St. Error Beta
(Constant)
SES level
Family experience with HT
51.393
-1.156
-0.586
1.066
0.405
0.310
-0.133
-0.088
48.205
-2.852
-1.889
0.000
0.005
0.060
Note. SES level: 1= Low, 2= Medium, 3= High. Family experience: 1= No, 2= Yes, in
the past; 3= Yes, currently.
Risk perceptions linked to HT
Only a small percentage of the participants considered that there is no health risk
related to HT (0.9%) or that HT is a risk factor only for mild health problems (4.7%).
Contrarily, the majority of the participants (94.4%) were aware about the severe
problems that HT could generate. In average, participants perceived that HT was a risk
factor for 8.39±3.50 problems (observed range: 0-19). Table 5 presents the
percentages of agreement with the perception of HT as a risk factor for developing
diverse health threats.
221
Table 5: Diseases related to HT.
Health problems YES % Cerebrovascular disease (ischemic attack, stroke, stenosis, embolism, aneurysms, etc.)
92.9
Myocardial infarction 92.2 Cardiac arrhythmia 79.8 Heart failure 75.8 Angina 74.0 Bleedings 56.7 Anxiety 54.7 Cholesterol 49.1 Blindness 39.3 Renal failure 37.8 Obesity 32.9 Depression 31.1 Respiratory diseases (asthma, bronchitis ) 28.9 Diabetes 28.7 Bone and joints problems 21.8 Prostate problems 13.1 Fibromyalgia 12.9 Cancer 10.0 Hepatitis 7.1
Cardiovascular and cardio-coronary diseases were the most frequent perceived
risks related to HT. Renal failure or visual impairment were referred by only 4 in ten
participants. Many participants also linked suffering from emotional distress (anxiety,
depression) to HT. Curiously, many participants considered that high BP may generate
other risk factors such as high cholesterol blood levels, diabetes or obesity. Around 1 in
10 participants linked HT to non-related diseases, such as cancer, fibromyalgia or
hepatitis.
Preventive perceptions and behaviours
We also explored perceived preventive behaviours and practiced preventive
behaviours to face the risk of suffering from HT. Table 6 shows descriptive findings.
Although most of the participants thought that the listed behaviours help in
avoiding high BP, the proportion of participants that practiced those actions was
considerably lower, with up to 1 in 5 participants not executing them with the intention
of preventing HT. Of the participants, 4.2% reported not conducting any of the listed
preventive actions and 38% indicated to perform less than 5 preventive actions.
222
Table 6: Perceived and practiced preventive behaviours.
Perceived preventive behaviours
Practiced preventive behaviours
NO (0) (%)
YES (1-10) NO (0) (%)
YES (1-10) M SD M SD
1. Reducing the number of cigarettes/ stop smoking
2.2 8.56 1.77 23.8 8.35 2.74
2. Reducing alcohol intake 0.9 8.70 1.48 17.8 7.54 2.57 3. Reducing salt intake / low salt diet 0.2 9.38 1.04 14.7 6.48 2.76 4. Reducing saturated fat intake / low saturated fat diet
0.4 8.98 1.45 12.2 6.62 2.39
5. Reducing sugar consumption / low sugar diet
3.8 7.15 2.36 16.2 5.86 2.56
6. Reducing the consumption of stimulating beverages (coffee, tea...)
0.4 8.51 1.70 17.8 6.30 2.82
7. Increasing vitamins and minerals intake (fruits, vegetables, fish...)
3.3 7.69 2.31 13.8 6.76 2.43
8. Increasing calcium and potassium consumption
6.9 6.42 2.40 20.2 5.81 2.52
9. Increasing water consumption 3.1 7.42 2.35 13.6 7.04 2.41 10. Increasing physical activity in everyday life
0.7 8.71 1.55 10.2 6.74 2.57
11. Doing regular, moderate intensity exercise at least three times a week
0.9 8.61 1.63 17.8 6.25 2.85
12. Doing regular, high intensity exercise at least three times a week
9.8 5.93 2.60 41.6 5.15 2.95
13. Avoiding taking certain medications (anti-inflammatory treatments, contraceptives...)
6.4 6.20 2.48 28.7 6.64 2.89
14. Avoiding strong emotions and stress
0.9 8.04 1.89 22.0 5.84 2.52
15. Practicing strategies and activities to get relaxed
0.0 8.24 1.82 20.0 6.02 2.69
Concretely, nobody thought that none of the listed behaviours was successful in
reducing the risk of suffering from HT and only 3.1% participants rated the perceived
efficacy of the preventive behaviours as a whole as lower than 5 (moderate). The
average perceived efficacy for the complete list of preventive actions was 7.72±1.27
(observed range: 2.73-10) in a 0-10 scale. The behaviours perceived by participants as
more successful for preventing HT were reducing sodium and saturated fats intake,
increasing physical activity levels and practicing regularly exercise at a moderate
intensity, reducing alcohol, tobacco and stimulating beverages consumption, as well as
controlling stress, negative emotions and arousal. The less frequently considered as
successful preventive actions were doing high intensity exercise regularly, avoiding
taking certain medicaments and increasing calcium and potassium consumption.
Participants reported to practice, in average for the complete list of preventive
actions, 5.26±2.45 (observed range: 0-10) behaviours with the aim of preventing HT in
a 0-10 scale. Participants pointed out different behaviours as (relatively) frequently
223
conducted with the aim of preventing HT, but curiously most frequent practiced
behaviours were not always those indicated as more successful for preventing HT.
Those behaviours done in a highest proportion in order to prevent HT were reducing
the number of cigarettes or stop smoking, reducing alcohol intake and increasing water
consumption and daily physical activity, as well as conducting several modifications in
diet, including increasing vitamins and minerals intake and reducing fat and salt intake,
as well as avoiding taking certain medications. The behaviours conducted at a lower
rate were doing regular high intensity exercise, increasing calcium and potassium
consumption and avoiding strong emotions and stress.
Associations among illness perceptions for HT, perceptions of HT as a risk factor
and perceived and practiced preventive behaviours
Table 7 shows the correlations between all the psychosocial variables of the study.
In summary, results show that associations among BIPQR dimensions were as
expected (exceptions were the inverse associations between identity and duration, and
evolution and consequences dimensions). Furthermore, the perception of HT as a risk
factor positively correlated with number of problems linked to HT and practiced
preventive behaviours, as well as with the BIPQR dimensions of identity and
consequences, and inversely with (lack of) personal and treatment control and (lack of)
coherence dimensions. Number of health risks linked to HT positively correlated with
perceptions of preventive behaviours, practice of preventive behaviours, the global
score on the BIPQR and the scores on several dimensions of the BIPQR: identity,
consequences, causes and emotional representations; it was inversely correlated with
the (lack of) personal control dimension.
Perception of preventive behaviours positively correlated also with practice of
preventive behaviours, the BIPQR global score and several dimensions of the BIPQR:
identity, duration, consequences and causes; it was inversely correlated with evolution
and (lack of) personal control dimensions.
Practice of preventive behaviours was further positively correlated with identity,
consequences, (lack of) coherence and emotional representations dimensions of the
BIPQR, and inversely correlated with evolution and (lack of) personal control
dimensions.
224
Table 7: Correlations among the main psychosocial variables of the Study 2. 1 2 3 4 5 6 7 8 9 10 11 12 13 14
1 HYPERTENSION RISK FACTORS
- 0.271** 0.071 0.145** 0.104* -0.017 -0.039 0.100* -0.245** -0.100* -0.164** 0.077 -0.053 -0.035
2 NUMBER OF HEALTH PROBLEMS
- 0.427** 0.162** 0.378** -0.041 -0.089† 0.259** -0.227** 0.039 -0.034 0.128** 0.304** 0.244**
3 PERCEIVED PREVEN- TIVE BEHAVIOURS
- 0.306** 0.255** 0.095* -0.121** 0.259** -0.201** 0.006 -0.031 0.050 0.344** 0.170**
4 PRACTICED PREVEN- TIVE BEHAVIOURS
- 0.119* -0.005 -0.190** 0.258** -0.285** -0.038 0.098* 0.096* 0.079 0.068
5 IDENTITY -
6 DURATION -0.097* -
7 EVOLUTION 0.015 0.071 -
8 CONSEQUENCES 0.193** -0.034 -0.157** -
9 PERSONAL CONTROL
-0.108* 0.016 0.157** -0.266** -
10 TREATMENT CONTROL
0.053 0.051 -0.099* -0.088† 0.368** -
11 COHERENCE -0.019 -0.107* -0.050 0.034 0.057 0.077 -
12 EMOTIONAL REACTIONS
0.070 0.004 0.034 0.056 0.085† 0.068 0.047 -
13 CAUSES 0.339** 0.017 0.072 0.195** -0.049 -0.025 0.012 0.184** -
14 BIPQR_TOTAL 0.633** 0.205** 0.302** 0.270** 0.283** 0.350** 0.322** 0.453** 0.329** -
† p< 0.10 * p< 0.05 ** p< 0.01
Upper panel: Associations among illness perceptions, perceptions of HT as a risk factor, perceived preventive behaviours and practiced
preventive behaviours. Lower panel: Associations among BIPQR subtotal and total scores.
225
Predictors of risk perceptions, prevention perceptions and preventive behaviours
Influence of sociodemographic variables, i.e., gender, age, marital status, SES
level and family experience with the disease, on HT risk perceptions, prevention
perceptions and preventive behaviours was explored by a series of hierarchical
multiple linear regression analyses (stepwise). Besides, perceptions on HT as a risk
factor and on prevention options may influence each other and on behaviour, so they
were also included among the predictors. In all of the analyses, in a first step, total
scores in the measures of risk perceptions (HT as a risk factor and total number of
problems associated to HT as a risk factor), prevention perceptions and preventive
behaviours were regressed on all sociodemographic variables; in a second step, family
experience with the disease was introduced in the analysis; BIPQR global score was
introduced in a third step; the remaining variables were introduced in a fourth step as
showed in Table 8.
When predictors of perceptions of HT as a risk factor were analyzed, only family
experience emerged as significant predictor, so that people with a relative having HT
were more likely to perceive the disease as a risk factor for further health problems.
Number of problems related with HT was predicted by age: the younger the participant,
the higher the number of future health risks linked to HT, and BIPQR global score: the
stronger the beliefs on severity of the illness, the higher the number of problems
associated to HT. Preventive perceptions were predicted by age and gender, illness
beliefs as well as number of health risks linked to HT: women, younger participants and
those perceiving HT as more serious and those who perceived a higher number of
risks linked to HT were more likely to perceive HT as a preventable disease. Finally,
preventive behaviours practiced were predicted by gender, perceiving HT as a risk
factor and preventive perceptions: women, those who considered HT as a risk factor
and those who perceived more preventive options were more likely to practice a higher
number of preventive actions. Consequently, SES and marital status were not
significant predictors of any of these variables. Global BIPQR score emerged as
significant predictor of two of these outcome variables: Number of problems linked to
HT and perceived preventive actions.
226
Table 8: Sociodemographic and psychosocial predictors of perceptions on HT as a risk
factor and preventive perceptions and behaviours.
Final models Unstand. Coef. Stand. Coef.
t p
B St. Error
Beta
HT as a risk factor Cor. R2= 0.015; F= 4.432, p= 0.012
(Constant) 2.903 0.108 Family experience 0.040 0.014 0.135 2.880 0.004** BIPQR global score -0.001 0.002 -0.023 -0.492 0.623
Number of problems linked to HT Cor. R2= 0.148; F= 27.101, p= 0.000
(Constant) 4.575 1.320 Age -0.074 0.010 -0.308 -7.062 0.000** Family experience -0.019 0.163 -0.005 -0.116 0.907
BIPQR global score 0.136 0.025 0.243 5.556 0.000** Preventive perceptions Cor. R2= 0.283; F= 30.504, p= 0.000
(Constant) 6.704 0.720 Age -0.026 0.004 -0.302 -6.970 0.000** Gender 0.262 0.118 0.092 2.224 0.027*
Family experience 0.044 0.055 0.033 0.802 0.423 BIPQR global score 0.018 0.009 0.088 2.112 0.035* HT as a risk factor -0.132 0.192 -0.029 -0.689 0.491 Number of problems
linked to HT 0.114 0.016 0.314 6.897 0.000**
Preventive behaviours Cor. R2= 0.135; F= 11.042, p= 0.000
(Constant) -2.997 1.667 Gender 1.004 0.251 0.183 4.008 0.000** Age -0.012 0.008 -0.071 -1.426 0.155 Family experience -0.070 0.117 -0.027 -0.601 0.548 BIPQR global score 0.008 0.018 0.128 0.461 0.645 HT as a risk factor 1.109 0.406 0.021 2.754 0.006** Number of problems linked to HT
-0.011 0.037 -0.016 -0.301 0.763
Preventive perceptions
0.454 0.101 0.235 4.514 0.000**
227
Discussion
Although the SRM has been applied to different physical and mental illnesses, there
are relatively few studies regarding the non-specialised beliefs that healthy people hold
and how their beliefs influence health- and disease-related behaviours, and they have
been conducted mainly with carers of patients (e.g., Anagnostopoulos & Spanea, 2005;
Cabassa, 2007; Del Castillo et al., 2011; Dempster et al., 2011a,b; Figueiras &
Weinman, 2003; Fortune, Smith & Garvey, 2005; Kaptein et al., 2007; Karademas,
Zarogiannos & Karamvakalis, 2010; Lobban, Barrowclough & Jones, 2005; Searle,
Norman, Thompson & Vedhara, 2007). That is particularly true for the Spanish
population. Furthermore, research specific to HT is scarce, although this disease is one
of the leading causes of morbidity worldwide and one of the main risk factors for
serious pathologies such as heart attack, stroke or chronic renal failure. Moreover,
most research to date on HT representations among non-hypertensive individuals is
limited, with biased samples (e.g., small sample size, racial minorities, university
students), methodological shortcomings (e.g., measurement of illness perceptions,
dimensions considered in the analyses, influence of sociodemographic and experience
with the disease factors) and out-of-date findings. This study sought to overcome many
of these limitations in order to contribute to current knowledge related to the SRM.
Furthermore, healthy people, risk populations, patients, relatives and carers of patients
as well as health professionals are in need of tailored interventions focussed on their
illness representations.
The present research encompassed two studies with different but related aims.
The first study focused on establishing the representations of HT among Spanish
normotensive adults of both genders with diverse SES and varied family experience
with the disease. We also aimed to explore the impact of sociodemographic factors and
family experience on illness representations specifically among healthy people. As we
expected, Spanish normotensive population held HT representations that mixed both
folk and biomedical knowledge. On the other hand, compared to sociodemographic
conditions such as age or gender, SES level and family experience with the disease
significantly contributed to cognitive and emotional constructions on HT.
Regarding illness representations, HT was considered by non-patients to be a
symptomatic, cyclical and durable (i.e., chronic) disease that is highly controllable by
both the patient and by treatments and that has a relevant impact on the patient’s life.
The representation of HT as a symptomatic illness counteracts with the asymptomatic
character of the disease, the so-called silent killer, at least until the disease becomes
very advanced (Banegas et al., 2011). These results parallel those obtained in other
studies conducted with non-patients (e.g., Del Castillo et al., 2013; Meyer et al., 1985;
228
Wilson et al., 2002) but notably contrast with those obtained with hypertensive patients,
who perceive their disease as scarcely symptomatic (e.g., Bazán et al., 2013; Beléndez
et al., 2005; Chen et al., 2009; Hsiao et al., 2012; Norfazilah et al., 2013), probably due
to the lack of experience of clear manifestations of BP elevations. Nevertheless, other
findings indicate that patients also perceive HT as a symptomatic disease with many
manifestations of BP elevations (e.g., delaCruz & Galang, 2008; Figueiras et al., 2010;
Fongwa et al., 2008; Heckler et al., 2008; Lukoschek, 2003; Meyer et al., 1985;
Schlomann & Schmitke, 2007; Schoenberg & Drew, 2002). Compared to findings from
the study conducted by Del Castillo et al. (2013) with a Spanish sample, in the present
study the participants indicated, however, a higher number of symptoms. The
participants considered that different bodily located symptoms and signs are
characteristic of high BP, such as tachycardia, headaches, fatigue or heat and
perspiration (identified by more than 8 out of 10 participants), which coincides with
other research findings. A high percentage of the sample thought that HT generates
also emotional symptoms, supporting previous findings (Del Castillo et al., 2013),
probably misunderstanding and confounding causes and manifestations of high BP.
Curiously, 1-2 in ten participants linked HT to deliriums and hallucinations or fever and
many indicated other supposed symptoms of HT which have nothing to do with this
disease, indicating folk beliefs on HT. These results may be indicating the necessity for
non-specialised people of looking for possible indicators of the presence of signs and
symptoms as a way to identify when they are ill.
HT was also seen as a moderately long-lasting and cyclical disease, with
important, but not excessively severe, consequences in patients’ daily life, supporting
previous findings with Spanish data (Del Castillo et al., 2013; Godoy-Izquierdo et al.,
2007). This perception may derive from the severe pathologies caused by HT and not
from HT itself.
Furthermore, HT was perceived as a disease whose development, evolution and
management are controllable by both the patient and the available treatments,
supporting previous Spanish studies (Del Castillo et al., 2013; Godoy-Izquierdo et al.,
2007). Strong perceptions of controllability may be due to the way how HT is treated in
public health campaigns, which frequently emphasize the importance of individuals'
actions and lifestyle for controlling this disease (Del Castillo et al., 2013).
Regarding coherence dimension, most of the participants reported to have a good
understanding of the illness and its characteristics. This stands in contrast with findings
obtained with a Spanish normotensive sample, that showed a poor understanding of
the disease in a half of the participants (Del Castillo et al., 2013), but coincides with
data obtained with Spanish patients (Beléndez et al., 2005). Supporting previous
229
research with Spanish normotensive population (Del Castillo et al., 2013), the
participants didn't demonstrate strong feelings of sad, anxiety or worry linked to the
possibility of suffering from HT. This low perceived emotional impact stands in contrast
with the fact that almost all of them believed that it has important consequences for
patients and around 3 in 4 included emotional distress among its manifestations. These
results could be explained by the fact that, although HT has a high incidence and
prevalence in the population worldwide and it can be associated with serious or even
lethal disorders, this is perceived to occur only in a relatively low proportion of (non-
treated) hypertensive patients, given the high perceived controllability on the onset and
evolution of the disease.
Finally, although factors related to personal behaviour and lifestyle such as diet,
smoking or alcohol consumption, or psychosocial factors such as stress or worry were
considered among the most important causes of HT by the participants, uncontrollable
causes such as heredity or ageing were also pointed out. This results parallels findings
from Del Castillo et al. (2013) study, although in the current study participants endorsed
a higher relevance to behavioural causes, particularly to alcohol consumption, and are
also in line with other studies with normotensive people and patients (e.g., Bazán et al.,
2013; Beléndez et al., 2005; Chen et al., 2009, 2011; Godoy-Izquierdo et al., 2007;
Heckler et al., 2008; Meyer et al.,1985; Meyers et al., 2014; Ross et al., 2004;
Schlomann & Schmitke, 2007; Wilson et al., 2002). Again, these findings may be due
to the way HT is treated in preventive interventions, where the management of
controllable psychosocial risk factors is emphasised to decrease the impact of other
uncontrollable risk factors.
In general, our findings are consistent in many respects with those from studies
with normotensive individuals and also patients, including Spanish populations (e.g.,
Bazán et al., 2013; Chen et al., 2009, 2011; Del Castillo et al., 2013; Godoy-Izquierdo
et al., 2007; Figueiras et al., 2010; Heckler et al., 2008; Hsiao et al., 2012; Norfazilah et
al., 2013; Pickett et al., 2014; Ross et al., 2004; Schlomann & Schmitke, 2007).
However, the participants in the present study reflected more negative illness
perceptions, although similar perceived controllability, compared to Spanish patients
(Beléndez et al., 2005). They also support previous findings regarding the fit of beliefs
on HT to objective medical knowledge both in non-patients and patients (e.g., Del
Castillo et al., 2013; Godoy-Izquierdo et al., 2007; Meyer et al.,1985; Schlomann &
Schmitke, 2007; Wilson et al., 2002). As we predicted, HT representations were
generally accurate but sometimes they differed from medical knowledge and were
based on common sense, cultural beliefs and folk knowledge. Other researchers have
stated that laypeople’s illness cognitions of diverse physical illness sharply diverge
230
from current medical understanding (e.g., Anagnostopoulos & Spanea, 2005; Del
Castillo et al., 2011; Godoy-Izquierdo et al., 2007; Karasz, Mc Knee & Roybal, 2003;
Rees et al., 2004).
In Study 1, we also explored the influence of sociodemographic factors including
age, gender, SES (composed by educational level, work status and monthly income)
and family experience with the disease on lay illness models of HT. Contrary to
previous research with patients (e.g., Beléndez et al., 2005; Chen et al., 2011, 2014;
Heckler et al., 2008; Hsiao et al., 2012; Pérez, 2014; Pickett et al., 2014; Ross et al.,
2004), we did not find any relevant influence of gender and age; however, such
previous evidence indicated only a limited impact of sociodemographic conditions, and
we also expected so. Contrary to previous findings with patients (e.g., Hsiao et al.,
2012; Pickett et al., 2014; Ross et al., 2004) and our expectations, we found that SES
predicted HT illness representations. Participants who had lower SES perceived HT as
a more severe and durable disease, with stronger impact on patients’ life and less
possibilities of control by patients and treatments. In line with our findings, Pérez (2014)
found that lower education level and lower annual income were related to weaker
perceptions about timeline, personal control and coherence but stronger perceptions
about identity and consequences, as well as higher overall negative perceptions on HT
among patients.
We also found that family experience with the disease predicted more positive
perceptions of HT, as we expected. The influence of family experience with the illness
has been also shown by other studies with Spanish non-patients (Del Castillo et al.,
2013; Godoy-Izquierdo et al., 2007) and with hypertensive patients (Norfazilah et al.,
2013). However, whereas among non-patients, family experience has been associated
to more benign representations of HT, it has been linked to more negative
representations among individuals who also suffer from HT.
The second study aimed to explore possible associations between HT perceptions,
perceptions of HT as a risk factor and perceived and practiced preventive behaviours in
order to test the expected relationship illness perceptions-behaviour predicted by the
SRM. Noticeably, almost 95% of the participants were aware about the serious
problems that HT could be associated to. Health problems more frequently perceived
by the participants as risks linked to high BP were cardiovascular diseases, which may
be due to the fact that they are those people usually refer in their daily life and
conversations because they are more common, more impacting or even because these
illnesses have been traditionally considered health risks related to HT. Curiously, other
important problems that could be provoked by HT such as renal failure or visual
impairment were referred by only 4 in ten participants. Many participants also linked
231
suffering from emotional distress to HT in a possible confusion of causes and
consequences of HT. Another striking result is that many participants considered that
this disease causes other cardio-metabolic risk factors such as high cholesterol blood
levels, diabetes or obesity. Finally, a series of illnesses which are not related to HT was
referred by around 1 to 3 in 10 participants. These results partially parallel those
obtained in other studies exploring the awareness about HT risks in healthy people. For
instance, Newell et al. (2009) found that Black people considered that HT could lead to
severe health problems such as stroke and heart disease, but most of the participants
failed in their perception of the seriousness of HT itself. Moreover, young African
Americans with varied HT risk considered that HT has important consequences in
patients’ lives but many of the participants didn't know what are the potential health
risks linked to HT and failed in estimating their own potential risk (Savoca et al., 2009).
A sample of African American adults were knowledgeable of the serious, negative
consequences such as cardiac problems, stroke, kidney disease and premature death
that would result if BP is not controlled, but reported diverse important barriers for
preventive behaviours (Peters et al., 2006). Aroian et al. (2012) with Hispanic
population also found that participants were knowledgeable about potential risks linked
to HT and how to prevent them, and had a positive attitude toward prevention, but they
also reported diverse important barriers that strongly difficulted preventive efforts.
In Study 2, preventive perceptions and practices were also explored. We found
that the vast majority of the participants thought that the proposed behaviours were
useful for preventing HT. Furthermore, none of the participants showed a complete lack
of confidence in lifestyle changes for the prevention of HT. Moreover, only a very small
proportion of the participants (3.1%) rated the perceived efficacy of the preventive
behaviours as a whole as lower than moderate. In general, participants showed a high
perception of efficacy of the listed behaviours for HT prevention, resulting in a general
average score of the complete list of almost 8 in a 0-10 scale. Concretely, the actions
perceived by the sample as more successful for preventing HT were introducing
modifications in diet, physical activity and substance use as well as controlling stress
and negative emotions. These findings are in line with those obtained in studies with
ethnic minorities (Aroian et al., 2012; Newell et al., 2009; Peters et al., 2006; Savoca et
al., 2009).
Perceptions on the efficacy of actions for preventing HT are expected to be
translated in the practice of such behaviours in daily life as a way to face HT risk.
However, we observed that the number of people who practiced them was
considerably low, with up to 1 in 5 participants in average not executing those actions
with the intention of preventing HT. Whilst 4.2% of the participants reported not
232
conducting any of the listed preventive actions, 38% of the participants indicated to
perform less than 5 preventive actions. This incongruence between mental
representations and actions has been also pointed out by other studies (Aroian et al.,
2012; Newell et al., 2009; Peters at al., 2006; Savoca et al., 2009). The explanation of
these dispiriting results could be related to that, even if healthy people know how to
prevent HT, if they don't perceive a real likelihood of suffering from the disease they
probably will not change their habits because of the effort these changes entail. Age of
the participants might by also explaining our findings, given that HT is perceived to be
related to ageing, and young adults, who probably do not perceive a high risk of
suffering from HT in the short- or medium-term, are over-represented in our sample. In
fact, participants might be conducting these behaviours for the overall derived health
promoting and disease preventing effects, and not explicitly for preventing HT.
In regard to the associations among the psychosocial variables of our study, we
found a clear relationship among the perception of health risks related to HT, the
perception of preventive behaviours and the practice of them. The perception of HT as
a risk factor correlated more robustly with the practice of preventive behaviour, while
the perception of a higher number of health threats linked to HT correlated more
robustly with the perception of preventive lifestyle changes. We also found that people
who perceived more possibilities of HT prevention linked to different lifestyle changes
also conducted these behaviours more likely.
Our findings also showed that illness beliefs about HT correlated with perceptions
of risks, perception of preventive behaviours and practice of preventive actions. With
the exception of duration and evolution dimensions, all the BIPQR dimensions
correlated as expected with the perceptions of HT as a risk factor or the number of
health threats linked to HT; and with the exception of treatment control dimension, all
the BIPQR dimensions correlated as expected with the perception of prevention
options or preventive behaviours. Specifically, we found that beliefs about the presence
of more symptoms and of more serious consequences linked to HT were related to
stronger perceptions of health risks of HT, higher confidence in the possibility of
preventing HT using preventive behaviours and more frequent practice of these
behaviours in daily life. Lack of personal control dimension was inversely related to all
outcomes: The higher the perceived controllability on HT, the more serious and
frequent risks linked to it but also the greater perceptions on preventability. Cyclic
evolution beliefs were inversely related to perception and practice of HT preventive
behaviours, so that people who perceived HT as a more stable disease considered
preventive behaviours as more effective to control HT and consequently they practiced
them more frequently. Emotional representations and coherence on the disease were
233
related to the perceptions on HT risks and prevention actions, so that participants who
doubt on that they have a meaningful understanding and have more negative
emotional reactions usually put in practice more preventive behaviours. Causal
attributions and BIPQR global score were directly related to risk perceptions and
prevention perceived options. Duration and treatment control dimensions were the
most weakly related to outcome variables. Our findings support the proposal by
Cameron (2008) on the relationship between illness perceptions and illness risk
perceptions, but add more illness representations to likelihood estimates.
Furthermore, supporting SRM proposals, illness beliefs revealed as significant
predictors of some of the outcome variables included in this research. Concretely,
stronger negative representations on HT were more likely to derive in perceptions of
HT as linked to a higher number of health threats and stronger preventive perceptions.
Family experience, besides affecting illness perceptions, predicted a stronger
perception of HT as a risk factor for further health problems. Number of problems
linked to HT and HT as a risk factor perception predicted higher likeliness of perceiving
preventing options or conducting preventive actions, respectively. Practiced preventive
behaviours was further predicted by perceiving preventive options. Moreover, age and
gender revealed as important for outcomes variables. Women (e.g., Savoca et al.,
2009) and younger people (e.g., Aroian et al., 2012) have demonstrated to be more
aware about possible risks and prevention of HT. In our study, younger participants
perceived more health risks linked to HT and both they and women perceived more
possibilities of prevention. Furthermore, women were more likely to practice preventive
behaviours in their daily life.
Our findings have important applied derivations, offering keys for HT prevention
and control. They reveal the usefulness of knowing how a very extended but
preventable disease such as HT is understood by healthy laypeople, how beliefs derive
from an indirect experience with the disease and how non-patients perceive risks linked
to the disease, possibilities of prevention and preventive efforts. This knowledge allows
us to design interventions that can be targeted appropriately to different populations
(i.e., non-patients vs. patients, carers, health professionals). As the SRM suggests,
patients cope with their disease and its impact based on their beliefs and, for example,
adhere to treatments, self-regulate emotional distress or adopt self-care activities or
changes in lifestyles if they believe something can be done to manage the disease, its
symptoms and its consequences (Petrie & Weinman, 2006). Based on SRM proposals
(Cameron, 2008; Leventhal et al., 2011), it is expected that similarly healthy people
avoid risks, seek medical care, undergo medical exams and adopt new healthy
behaviours if they believe they can act against a disease and they believe they can
234
suffer from it. Our research has established a positive relationship between perceptions
about HT and attitudes, intentions and actions regarding protective and preventive
behaviours, as other studies has shown for different physical illnesses (e.g., Andersson
et al., 2009; Ali et al., 2013; Cameron, 2008; Chang et al., 2011; Claassen et al., 2010,
2012; Hevey et al., 2009; Raude & Setbon, 2005; Sullivan et al., 2010; Van Oostrom et
al., 2007a, 2007b, 2007c). An individually focused revision and discussion of illness
beliefs could modify misconceptions and biased, inappropriate and unrealistic
expectations.
Our results also have shown a discrepancy between the perception of possibilities
of preventing HT through changes in personal behaviours and the actual performance
of these behaviours in daily life. This gap from knowledge, beliefs and attitudes to
action should be studied more deeply, but it highlights the importance of introducing
real changes in people’s lifestyle to avoid HT. Understanding the illness beliefs and the
perceptions of risks and possibilities of HT prevention held by healthy people also
provides insights on how a particular illness or health-threatening condition is perceived
prior to a possible direct experience with the disease. It also helps us to understand
how these representations are changed by the illness experience; how they relate to
specific coping behaviours, adjustment and health outcomes with and without personal
or family experience; and how this information can be used to derive preventive and
therapeutic interventions aimed at modifying illness beliefs in both patients and non-
patients (Del Castillo et al., 2011, 2013). Furthermore, such knowledge would allow us
to inform appropriate preventive and therapeutic interventions, so that the emotional
and behavioural managing actions of non-patients (and patients) could be better
adjusted to their respective condition and result in more positive outcomes in terms of
health and well-being and management of risks. Our study also stresses the key role of
health psychologists in primary and specialised care and, more broadly in community
health policies and campaigns, for educating both laypeople (patients, non-patients,
relatives and caregivers) and specialised staff.
However, some limitations of this study should be considered in future research.
Given the scarcity of investigations on HT representations and preventive behaviours in
Spanish and other populations, we encourage researchers to conduct new studies
aimed at replicating our results and to include cross-cultural comparison purposes. It
would be advisable to increase the number of participants and to include a more
heterogeneous sample. The reliance on self-reported diagnoses of personal and family
member HT has important limitations, as prevalence may be under- or overestimated.
Nonetheless, this procedure has been found to show a moderate to excellent
agreement with epidemiological, population-based prevalence in nationwide samples
235
(Lima-Costa, Peixoto & Firmo, 2004; Selem, Castro, Galvao, Lobo & Fisberg, 2013;
Van Eenwyk, Bensley, Ossiander & Krueger, 2012). Thus, self-reports are considered
valid and an appropriate indicator for the surveillance of HT prevalence in the absence
of BP measurement. Researchers and health specialists are increasingly obtaining
information on chronic illnesses from self-reports (e.g., Estoppey, Paccaud,
Vollenweider & Marques-Vidal, 2011; Kaplan, Huguet & Feeney, 2010; Pereira et al.,
2012; Pitsavos et al., 2006; Valderrama, Tong, Ayala & Keenan, 2008). However,
medical data would complete self-reported information. Future research should also
compare the beliefs of non-patients, caregivers and patients with controlled and
uncontrolled HT. Further, neither the type and accuracy of knowledge the participants
had nor the sources of their representations were considered herein, and it would be
appropriate to know and compare the beliefs and behaviours of people who have
significant medical knowledge with those held by people with no specialised
knowledge. It would be also interesting to consider participant's current or future risk of
having HT due to behavioural or genetic causes. Besides, it would be interesting to
explore how illness perceptions and preventive representations and behaviours
themselves change over time in response to new influences, such as an individual’s
personal and/or family experience with the illness or a tailored intervention. Finally,
other analytical decisions (e.g., using IPQ-R dimensions) and strategies (e.g., indirect
effects) might reveal different findings, and we encourage authors to conduct future
research considering these recommendations.
Acknowledgement
We are grateful to all the participants who made this study possible.
Funding
This research was partially supported with the financial aid provided to the Psicología
de la Salud y Medicina Conductual – Health Psychology & Behavioural Medicine
Research Group (CTS-0267) by the Consejería de Innovación, Ciencia y Empresa,
Junta de Andalucía (Spain).
236
References
Ali, N.S., Shonk, C. and Saleh El-Sayed, M. (2013). Associations between healthy
behaviors and coronary heart disease risk factors in women. Journal of Nursing
Education and Practice, 3, 1-9.
Anagnostopoulos, F. and Spanea, E. (2005). Assessing illness representations of
breast cancer: Comparison of patients with healthy and benign controls. Journal of
Psychosomatic Research, 58, 327-334.
Andersson, P., Sjöberg, R.L., Öhrvik, J. and Leppert, J. (2009). The effects of family
history and personal experiences of illness on the inclination to change health-
related behaviour. Central European Journal of Public Health, 17, 3-7.
Aroian, K.J., Rosalind, M.P., Rudner N. and Waser, L. (2012). Hypertension prevention
beliefs of Hispanics. Journal of Transcultural Nursing, 23, 134-142.
Ayalon, L., Gross, R., Tabenkin, H., Porath, A. Heyamann, A. and Porter, B. (2006).
Correlates of quality of life in primary care patients with hypertension. International
Journal of Psychiatry in Medicine, 36, 483-497.
Babu, G.R., Waran, J.A., Mahapatra, T., Mahapatra, S., Kumar, A., Detels, R. et al.
(2014). Is hypertension associated with job strain? A meta-analysis of
observational studies. Occupational Environmental Medicine, 71, 220-227.
Backé, E.M., Seidler, A., Latza, U., Rossnagel, K. and Schumann, B. (2012). The role
of psychosocial stress at work for the development of cardiovascular diseases: A
systematic review. International Archives of Occupational Environmental Health,
85, 67-79.
Banegas, J.R. (2005). Epidemiología de la hipertensión arterial en España. Situación
actual y perspectivas. Hipertensión, 22, 353-362.
Banegas, J.R., López-García, E., Dallongeville, J., Guallar, E., Halcox, J.P., Borghi. C.
et al. (2011). Achievement of treatment goals for primary prevention of
cardiovascular disease in clinical practice across Europe: The EURIKA study.
European Heart Journal, 32, 2143-2152.
Bazán, G.E., Osorio, M., Miranda, A.L., Alcántara, O. and Uribe, G. (2013). Validación
del cuestionario breve sobre percepción de la enfermedad (BIPQ) en hipertensos.
Revista de Psicología de Trujillo, 15, 78-91.
Bazzazian, S. and Besharat, M.A. (2010). Reliability and validity of a Farsi version of
the brief illness perception questionnaire. Procedia Social and Behavioral
Sciences, 5, 962-996.
Beléndez, R., Bermejo, R.M. and García-Ayala, M.D. (2005). Estructura factorial de la
versión española del Revised Illness Perception Questionnaire en una muestra de
hipertensos. Psicothema, 17, 318-324.
237
Broadbent, E., Kaptein, A. and Petrie, K.J. (2011). Double Dutch: The ‘think-aloud’
Brief IPQ study uses a Dutch translation with confusing wording and the wrong
instructions. British Journal of Health Psychology,16, 246-249.
Broadbent, E., Petrie, K.J., Main, J. and Weinman, J. (2006). The brief illness
perception questionnaire. Journal of Psychosomatic Research, 6, 631-7.
Buick, D. and Petrie, K.J. (2002). “I know just how you feel”: The validity of healthy
women's perceptions of breast cancer patients receiving treatment. Journal of
Applied Social Psychology, 32, 110-123.
Cabassa, L.J. (2007). Latino immigrant men's perceptions of depression and attitudes
toward help seeking. Hispanic Journal of Behavioral Sciences, 29, 492-509.
Cameron, L.D. (2008). Illness risk representations and motivations to engage in
protective behavior: The case of skin cancer risk. Psychology and Health, 23, 91-
112.
Cameron, L.D. and Moss-Morris, R. (2004). Illness-related cognition and behaviour. In:
D. French, K. Vedhara, A.A. Kaptein and J. Weinman (eds.), Health and
Psychology (pp. 84-110). Malden, MA: BPS Blackwell.
Cameron, L.D. and Leventhal, H. (Eds.) (2003). The self-regulation of health and
illness behaviour. London: Routledge.
Chang, M., Valdez, R., Ned, R., M Liu, T., Yang, Q., Yesupriya, A. et al. (2011).
Influence of familial risk on diabetes risk-reducing behaviors among U.S. adults
without diabetes. Diabetes Care, 34, 2393-2399.
Chauan, U. (2007). Cardiovascular disease prevention in primary care. British Medical
Bulletin, 81 & 82, 65-79.
Chen, S.L., Lee. W.L. , Liang, T. and Liao, I.C. (2014). Factors associated with gender
differences in medication adherence: a longitudinal study. Journal of Advanced
Nursing, 70, 2031-2040.
Chen, S.L., Tsai, J.C. and Chou, K.R. (2011). Illness perceptions and adherence to
therapeutic regimens among patients with hypertension: A structural model
approach. International Journal of Nursing Studies, 48, 235-245.
Chen, S.L., Tsai, J.C. and Lee, W.L. (2009). The impact of illness perception on
adherence to therapeutic regimens of patients with hypertension in Taiwan.
Journal of Clinical Nursing, 18, 2234-2244.
Chida, Y. and Steptoe, A. (2010). Greater cardiovascular responses to laboratory
mental stress are associated with poor subsequent cardiovascular risk status: A
meta-analysis of prospective evidence. Hypertension, 5, 51026-1032.
Chobanian, A.V., Bakris, G.L., Black, H.R., Cushman, W.C., Green, L.A., Izzo, J.L. et
al. (2003). The Seventh Report of the Joint National Committee on Prevention,
238
Detection, Evaluation, and Treatment of High Blood Pressure. JAMA, 289, 2560-
2572.
Claassen, L., Henneman, L., Kindt, I., Marteau, T.M. and Timmermans, D.R. (2010).
Perceived risk and representations of cardiovascular disease and preventive
behaviour in people diagnosed with familial hypercholesterolemia. A cross-
sectional questionnaire study. Journal of Health Psychology, 15, 33-43.
Claassen, L., Henneman, L., Van der Weijden, T., Marteau, T.M. and Timmermans,
D.R. (2012). Being at risk for cardiovascular disease: Perceptions and preventive
behaviour in people with and without a known genetic predisposition. Psychology,
Health & Medicine,17, 511-521.
Collins, C.M., Dantico, M., Shearer, N. and Mossman, K.L. (2004). Heart disease
awareness among college students. Journal of Community Health, 29, 405-420.
De Raaij, E.J., Schröder, C., Maissan, F.J., Pool, J.J. and Wittink, H. (2012). Cross-
cultural adaptation and measurement properties of the Brief Illness Perception
Questionnaire-Dutch language version. Manual Therapy, 17, 330-335.
Del Castillo, A., Godoy-Izquierdo, D., Vázquez, M.L. and Godoy, J.F. (2011). Illness
beliefs about cancer among healthy adults who have and have not lived with
cancer patients. International Journal of Behavioral Medicine, 18, 342-351.
Del Castillo, A., Godoy-Izquierdo, D., Vázquez, M.L. and Godoy, J.F. (2013). Illness
beliefs about hypertension among non-patients and healthy relatives patients.
Health, 5, 47-58.
Dela Cruz, F. and Galang, C. (2008). The illness beliefs, perceptions, and practices of
Filipino Americans with hypertension. Journal of the American Academy of Nurse
Practitioners, 20, 118-127.
Delaney, J.A., Oddson, B.E., Kramer, H., Shea, S., Psaty, B.M. and McClelland, R.L.
(2010). Baseline depressive symptoms are not associated with clinically important
levels of incident hypertension during two years of follow-up. The Multi-Ethnic
Study of Atherosclerosis. Hypertension, 55, 408-414.
Dempster, M., McCorry, N.K., Brennan, N., Donnelly, M., Murray. L.J. and Johnston,
B.T. (2011). Psychological distress among family carers of oesophageal cancer
survivors: The role of illness cognitions and coping. Psycho-Oncology, 20, 698-
705.
Dickinson, H.O., Mason, J.M., Nicolson, D.J., Campbell, F., Beyer, F.R., Cook, J.V. et
al. (2006). Lifestyle interventions to reduce raised blood pressure: A systematic
review of randomized controlled trials. Journal of Hypertension, 24, 215-233.
239
Diefenbach, M.A. and Leventhal, H. (1996). The common-sense model of illness
representations: Theoretical and practical considerations. Journal of Social
Distress and the Homeless, 5, 11-38.
Düsing, R. (2006). Overcoming barriers to effective blood pressure control in patients
with hypertension. Current Medical Research and Opinion, 22, 1545-1553.
Estoppey, D., Paccaud, F., Vollenweider, P. and Marques-Vidal, P. (2011). Trends in
self-reported prevalence and management of hypertension, hypercholesterolemia
and diabetes in Swiss adults, 1997-2007. BMC Public Health, 11, 114-123.
Félix-Redondo, F.J., Fernández-Bergés, D., Pérez, J.F., Zaro, M.J., García, A.,
Lozano, et al. (2011). Prevalencia, detección, tratamiento y grado de control de los
factores de riesgo cardiovascular en la población de Extremadura (España).
Estudio HERMEX. Atención Primaria, 43, 426-434.
Figueiras, M.J. and Alves, N.C. (2007). Lay perceptions of serious illnesses: An
adapted version of the Revised Illness Perception Questionnaire (IPQ-R) for
healthy people. Psychology & Health, 22, 143-158.
Figueiras, M. and Weinman, J. (2003). Do similar patient and spouse perceptions of
myocardial infarction predict recovery? Psychology and Health, 18, 201-216.
Figueiras, M., Marcelino, D.L., Claudino, A., Cortes, M.A., Maroco, J. and Weinman, J.
(2010). Patients' illness schemata of hypertension: The role of beliefs for the
choice of treatment. Psychology & Health, 25, 507-517.
Fongwa, M.N., Evangelista, L.S., Hays, R.D., Martins, DS, Elashoff, D., Cowan, M.J. et
al. (2008). Adherence treatment factors in hypertensive African American woman.
Vascular Health and Risk Management, 4, 157-166.
Forman, J.P., Stampfer, M.J. and Curhan, G.C. (2009). Diet and lifestyle risk factors
associated with incident hypertension in women. JAMA, 302, 401-411.
Fortune, D.G., Smith, J.V. and Garvey, K. (2005). Perceptions of psychosis, coping,
appraisals, and psychological distress in the relatives of patients with
schizophrenia: An exploration using self-regulation theory. British Journal of
Clinical Psychology, 44, 319-331.
French, D.P., Cooper, A. and Weinman, J. (2006). Illness perceptions predict
attendance at cardiac rehabilitation following acute myocardial infarction: A
systematic review with meta-analysis. Journal of Psychosomatic Research, 61,
757-767.
French, D.P., Schroder, C. and van Oort, L. (2011). The Brief IPQ does not have
‘robust psychometrics’: Why there is a need for further developmental work on the
Brief IPQ, and why our study provides a useful start. British Journal of Health
Psychology, 16, 250-256.
240
Frisoli, T.M., Schmieder, R.E., Grodzicki, T. and Messerli, F.H. (2011). Beyond salt:
Lifestyle modifications and blood pressure. European Heart Journal, 32, 3081-
3087.
Frosch, D.L., Kimmel, S. and Volpp, K. (2008). What role do lay beliefs about
hypertension etiology play in perceptions of medication effectiveness? Health
Psychology, 27, 320-326.
Gasperin, D., Netuveli, G., Soares Dias-da-Costa, J. and Pattussi, M. (2009). Effect of
psychological stress on blood pressure increase: A meta-analysis of cohort
studies. Cadernos de Saúde Pública, 25, 715-726.
Geleijnse, J.M., Kok, F.J. and Grobbee, D.E. (2004). Impact of dietary and lifestyle
factors on the prevalence of hypertension in Western populations. European
Journal of Public Health, 14, 235-239.
Godoy-Izquierdo, D., López-Chicheri, I., López-Torrecillas, F., Vélez, M. and Godoy,
J.F. (2007). Contents of lay illness models dimensions for physical and mental
diseases and implications for health professionals. Patient Education and
Counseling, 67, 196-213.
Gopinath, B., Louie, J.C., Flood, V.M., Rochtchina, E., Baur, L.A. and Mitchell, P.
(2014). Parental history of hypertension and dietary intakes in early adolescent
offspring: A population-based study. Journal of Human Hypertension, 28, 721-725.
Grau, M., Elosua, R., Cabrera de León, M., Guembe., M.J., Baena-Díez, J.M., Vega
Alonso, T. et al. (2011). Cardiovascular risk factors in Spain in the first decade of
the 21st century, a pooled analysis with individual data from 11 population-based
studies: The DARIOS Study. Revista Española de Cardiología (English
Edition), 64, 295-304.
Guo, X., Zou, L., Zhang, X., Li, J., Zheng, L., Sun, Z. et al. (2011). Prehypertension. A
meta-analysis of the epidemiology, risk factors, and predictors of progression.
Texas Heart Institute Journal, 38, 643-652.
Hagger, M.S. and Orbell, S. (2003). A meta-analytic review of the common-sense
model of illness representations. Psychology & Health, 18, 141-184.
Heckler, E., Lambert, J., Leventhal, E., Leventhal, H., Janh, E. and Contrada, R.
(2008). Commonsense illness belief, adherence behaviors and hypertension
control among African Americans. Journal of Behavioral Medicine, 31, 391-400.
Heijmans, M. and de Ridder, D. (1998). Structure and determinants of illness
representations in chronic disease: A comparison of Addison’s disease and
chronic fatigue syndrome. Journal of Health Psychology, 3, 523-537.
241
Heijmans, M., de Ridder, D. and Bensing, J. (1999). Dissimilarity in patients' and
spouses’ representations of chronic illness: Exploration of relations to patient
adaptation. Psychology & Health, 14, 451-466.
Hevey, D., Pertl, M., Thomas, K., Maher, L., Chuinneagáin, S.N. and Craig, A. (2009).
The relationship between prostate cancer knowledge and beliefs and intentions to
attend PSA screening among at-risk men. Patient Education and Counseling, 74,
244-249.
Hsiao, C.Y., Chang, C. and Chen, C.D. (2012). An investigation on illness perception
and adherence among hypertensive patients. Kaohsiung Journal of Medical
Sciences, 28, 442-447.
Huang, Y., Wang, S., Cai, X., Mai, W., Hu, Y., Tang, H. et al. (2013). Prehypertension
and incidence of cardiovascular disease: A meta-analysis. BMC Medicine, 11, 177-
186.
Juth, V., Cohen Silver R. and Sender, L. (2015). The shared experience of adolescent
and young adult cancer patients and their caregivers. Psycho-Oncology, DOI:
10.1002/pon.3785.
Kann, L., Kinchen, S., Shanklin, S.L., Flint, K.H., Hawkins, J., Harris, W.A. et al. (2014).
Youth risk behavior surveillance - United States, 2013. Atlanta, GA: Centers for
Disease Control and Prevention. Division of Adolescent and School Health.
Kaplan, M., Huguet, N. and Feeney, D.H. (2010). Self- reported hypertension
prevalence and income among older adults in Canada and the United States.
Social Science and Medicine, 6, 844-849.
Kaptein, A.A., Scharloo, M., Helder, D.I., Kleijn, W.C., van Korlaar, I.M. and Woertman,
M. (2003). Representations of chronic illness. In: Cameron LD and Leventhal H
(eds.), The self-regulation of health and illness behaviour (pp. 97-118). London:
Routledge.
Kaptein, A.A., van Korlaar, I.M., Cameron, L.D., Vossen, C.Y., van der Meer, F.J. and
Rosendaal, F.R. (2007). Using the common-sense model to predict risk perception
and disease-related worry in individuals at increased risk for venous thrombosis.
Health Psychology, 26, 807-812.
Karademas, E.C., Zarogiannos, A. and Karamvakalis, N. (2010). Cardiac patient-
spouse dissimilarities in illness perception: Associations with patient self-rated
health and coping strategies. Psychology & Health, 25, 451-463.
Karasz, A., McKee, M.D. and Roybal, K. (2003). Women’s experiences of abnormal
cervical cytology: Illness representations, care processes, and outcomes. Annals
of Family Medicine, 1, 196-202.
242
Kearney, P.M., Whelton, M., Reynolds, K., Muntner, P., Whelton, P.K. and He, J.
(2005). Global burden of hypertension: Analysis of worldwide data. The Lancet,
365, 217-223.
Keller, H., Hirsch, O., Kaufmann-Kolle, P., Krones, T., Becker, A. Sönnichsen, A.C.,
Baum, E. and Donner-Banzhoff, N. (2013). Evaluating an implementation strategy
in cardiovascular prevention to improve prescribing of statins in Germany: An
intention to treat analysis. BMC Public Health, 13, 623-632.
Khatib, R., Schwalm, J.D., Yusuf, S., Haynes, R.B., McKee, M., Khan, M. et al. (2014).
Patient and healthcare provider barriers to hypertension awareness, treatment and
follow up: A systematic review and meta-analysis of qualitative and quantitative
studies. PLoS ONE 9(1): e84238.
Krousel-Wood, M., Hyre, A., Muntner, P. and Morisky, D. (2005). Methods to improve
medication adherence in patients with hypertension: Current status and future
directions. Current Opinion in Cardiology: Hypertension, 20, 296-300.
Kucukarslan, S.N. (2012). A review of published studies of patients’ illness perceptions
and medication adherence: Lessons learned and future directions. Research in
Social and Administrative Pharmacy, 8, 371-382.
Landsbergis, P.A., Dobson, M., Koutsouras, G. and Schnall, P. (2013). Job strain and
ambulatory blood pressure: A meta-analysis and systematic review. American
Journal of Public Health, 103, 61-71.
Lau-Walker, M. (2004). Relationship between illness representation and self-efficacy.
Journal of Advanced Nursing, 48, 216-225.
Lee, T.J., Cameron, L.D., Wunsche, B. and Stevens, C. (2011). A randomized trial of
computer-based communications using imagery and text information to alter
representations of heart disease risk and motivate protective behaviour. British
Journal of Health Psychology, 16, 72–91.
Lehto, R.H. (2007). Causal attributions in individuals with suspected lung cancer:
Relationships to illness coherence and emotional responses. Journal of the
American Psychiatric Nurses Association, 13, 109-115.
Leventhal, H., Benyamini, Y., Brownlee, S., Diefenbach, M., Leventhal, E., A., Patrick-
Miller, L. et al. (1997). Illness representations: Theoretical foundations. In: K.J.
Petrie and J. Weinman (dirs), Perceptions of health and illness (pp. 19-47).
London: Harwood Academic.
Leventhal, H., Brissette, I. and Leventhal, E.A. (2003). The common-sense model of
regulation of health and illness. In: L.D. Cameron and H. Leventhal (eds), The self-
regulation of health and illness behaviour (pp. 42-65). London: Routledge.
243
Leventhal, H. and Diefenbach, M. (1991). The active side of illness cognition. In: R.T.
Skelton and M. Croyle (dirs), Mental representation in health and illness (pp. 247-
272). New York: Springer Verlag.
Leventhal, H., Diefenbach, M. and Leventhal, E.A. (1992). Illness cognition: Using
common sense to understand treatment adherence and affect cognition
interactions. Cognitive Therapy and Research 116, 143-163.
Leventhal, H., Leventhal, E.A. and Cameron, L. (2001). Representations, procedures,
and affect in illness self-regulation: A perceptual-cognitive model. In: A. Baum, T.A.
Revenson and J.E. Singer (dirs), Handbook of health psychology (pp. 19-48).
Mahwah: Lawrence Erlbaum.
Leventhal, H., Leventhal, E. and Contrada, R.J. (1998). Self-regulation, health and
behavior. A perceptual cognitive approach. Psychology & Health 13, 717-734.
Leventhal, H., Meyer, D. and Nerenz, D. (1980). The common sense model of illness
danger. In: S. Rachman (ed), Medical psychology (Vol.2) (pp. 7-30). New York:
Pergamon.
Leventhal, H., Nerenz, D.R. and Steele, D.F. (1984). Illness representations and coping
with health threats. In: A. Baum, S.E. Taylor and J.E. Singer (dirs), A handbook of
psychology and health: Sociopsychological aspects of health (pp. 219-252).
Hillsdale, Erlbaum.
Licht, C.M., de Geus, E.J., Seldenrijk, A., Van Hout, H.P., Zitman, F.G., Van Dyck, R.
et al. (2009). Depression is associated with decreased blood pressure, but
antidepressant use increases the risk for hypertension. Hypertension, 53, 631-638.
Lim, S.S., Vos, T., Flaxman, A.D., Danaei, G., Shibuya, K., Adair-Rohani, H. et al.
(2012). A comparative risk assessment of burden of disease and injury attributable
to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: A systematic
analysis for the Global Burden of Disease Study 2010. The Lancet, 380, 2224-
2260.
Lima-Costa, M.F., Peixoto, S.V. and Firmo, J.O. (2004). Validity of self-reported
hypertension and its determinants (the Bambuí study). Revista de Saúde Pública,
38, 637-642.
Liu, K., Daviglus, M.L., Loria, C.M., Colangelo, L.A., Spring, B., Moller, A.C. et al.
(2012). Healthy lifestyle through young adulthood and the presence of low
cardiovascular disease risk profile in middle age. The Coronary Artery Risk
Development in (Young) Adults (CARDIA) Study. Circulation, 125, 996-1004.
Lloyd-Jones, D., Hong, Y., Labarthe, D., Mozaffarian, D., Appel, L.J., Van Horn, L. et
al. (2010). Defining and setting national goals for cardiovascular health promotion
and disease reduction. Circulation, 121, 586-613.
244
Lobban, F., Barrowclough, C. and Jones, S. (2003). A review of the role of illness
models in severe mental illness. Clinical Psychology Review, 23, 171-196.
Lobban, F., Barrowclough, C. and Jones, S. (2005). Assessing cognitive
representations of mental health problems. II. The illness perception questionnaire
for schizophrenia: Relatives’ version. British Journal of Clinical Psychology, 44, 16-
179.
Lochting, I., Garratt, A.M., Storheim, K., Werner, E.L. and Grotle, M. (2013). Evaluation
of the Brief Illness Perception Questionnaire in sub-acute and chronic low back
pain patients: Data quality, reliability and validity. Journal of Pain Relief, 2, 122-
127.
Lukoschek, P. (2003). African Americans’ beliefs and attitudes regarding hypertension
and its treatment. Journal of Health Care for the Poor and Underserved, 14, 566-
587.
Lykins, E.L., Graue, L.O., Brechting, E.H., Roach, A.R., Gochett, C.G. and
Andrykowski, M.A. (2008). Beliefs about cancer causation and prevention as a
function of personal and family history of cancer: A national, population-based
study. Psycho-Oncology, 17, 967-974.
Marín, R., Armario, P., Banegas, J.R., Campo, C., De la Sierra, A. and Gorostidi, M.
(2005). Sociedad Española de Hipertensión-Liga Española para la lucha contra la
Hipertensión Arterial. Guía Española de Hipertensión Arterial. Hipertensión, 22
Supl 2, 1-84.
Marta, M., Zanchetti, A., Wong, N.D., Malyszko, J., Rysz, J. and Banach, M. (2013).
Patients with prehypertension – do we have enough evidence to treat them?.
Current Vascular Pharmacology, 11, 1-12.
McFall, M., Nonneman, R., Rogers, L.Q. and Mukerji, V. (2009). Health care student
attitudes toward the prevention of cardiovascular disease. Nursing Education
Perspectives, 30, 285-289.
Mc Sharry, J., Moss-Morris, R. and Kendrick, T. (2011). Illness perceptions and
glycaemic control in diabetes: A systematic review with meta-analysis. Diabetic
Medicine, 28, 1300-1310.
Meng, L., Chen, D., Yang, Y., Zheng, Y. and Hui, R. (2012). Depression increases the
risk of hypertension incidence: A meta-analysis of prospective cohort studies.
Journal of Hypertension, 30, 842-51.
Meyer, D., Leventhal, H. and Gutmann, M. (1985). Common sense models of illness:
The example of hypertension. Health Psychology, 4, 115-135.
245
Meyers, E.A., Koerner, K.M., Madison, A.M., Falk, N.A., Insel, K.C. and Morrow, D.G.
(2014). Defining older adults’ perceived causes of hypertension in the Brief Illness
Perception Questionnaire. Health Education Journal, 20, 1-15.
Moreno-Gómez, C., Romaguera-Bosch, D., Tauler-Riera, P., Bennasar-Veny, M.,
Pericas-Beltran, J., Martinez-Andreu, S. et al. (2012). Clustering of lifestyle factors
in Spanish university students: The relationship between smoking, alcohol
consumption, physical activity and diet quality. Public Health Nutrition, 15, 2131-
2139.
Moss-Morris, R. and Chalder, T. (2003). Illness perceptions and levels of disability in
patients with chronic fatigue syndrome and rheumatoid arthritis. Journal of
Psychosomatic Research, 55, 305-308.
Moss-Morris, R., Weinman, J., Petrie, K., Horne, R., Cameron, L. and Buick, D. (2002).
The Revised Illness Perception Questionnaire (IPQ-R). Psychology & Health, 17,
1-16.
Mozaffarian, D., Wilson, P.W. and Kannel, W.B. (2008). Beyond established and novel
risk factors: Lifestyle risk factors for cardiovascular disease. Kannel Circulation,
117, 3031-3038.
Murray, K.A., Murphy, D.J., Clements, S.J., Brown, A. and Connolly, S.B. (2014).
Comparison of uptake and predictors of adherence in primary and secondary
prevention of cardiovascular disease in a community-based cardiovascular
prevention programme (MyAction Westminster). Journal of Public Health, 36, 644-
650.
Nabi, H., Chastang, J.F., Lefèvre, T., Dugravot, A., Melchior, M., Marmot, M.G. et
al. (2011). Trajectories of depressive episodes and hypertension over 24 years:
The Whitehall II Prospective Cohort Study. Hypertension, 57, 710-716.
Nagele, E., Jeitler, K., Horvath, K., Semlitsch, T., Posch, N., Herrmann, K. et al. (2014).
Clinical effectiveness of stress-reduction techniques in patients with hypertension:
Systematic review and meta-analysis. Journal of Hypertension, 32, 1936-1944.
Newell, M., Modeste, N., Marshak, H. and Wilson, C. (2009). Health beliefs and the
prevention of hypertension in a Black population living in London. Ethnicity &
Disease, 19, 35-41.
Niederdeppe, J. and Gurmankin, L.A. (2007). Fatalistic beliefs about cancer prevention
and 3 prevention behaviors. Cancer Epidemiology, Biomarkers & Prevention, 16,
998-1003. Norfazilah, A., Samuel, A., Law, P.T., Ainaa, A., Nurul, A., Syahnaz, M.H. et al. (2013).
Illness perception among hypertensive patients in primary care centre UKMMC.
Malays Family Physician, 8, 19-25.
246
Olafiranye, O., Jean-Louis, G., Zing, F., Nunes, J. and Vincent, M.T. (2011). Anxiety
and cardiovascular risk: Review of epidemiological and clinical evidence. Mind
Brain, 2, 32-37. Orbell, S., O’Sullivan, I., Parker, R., Steele, B., Campbell, C. and Weller, D. (2008).
Illness representations and coping following an abnormal colorectal cancer
screening result. Social Science & Medicine, 67, 1465-1474.
Ortiz, H., Vaamonde, R.J., Zorrilla, B., Arrieta, F., Casado. M. and Medrano, M.J.
(2011). Prevalencia, grado de control y tratamiento de la hipertensión arterial en la
población de 30 a 74 años de la comunidad de Madrid. Estudio Predimerc. Revista
Española de Salud Pública, 85, 329-338.
Ostrowski, F., Artyszuk, l., Lewandowski, J. and Gaciong, Z. (2008). High normal blood
pressure – clinical fact or myth? Arterial Hypertension, 12, 374-381.
Pacheco-Huergo, V., Viladrich, C., Pujol-Ribera, E., Cabezas-Peña, C., Núñez, M.,
Roura-Olmeda, P. et al. (2012). Percepción en enfermedades crónicas: Validación
lingüística del Illness Perception Questionnaire Revised y del Brief Illness
Perception Questionnaire para la población española. Atención Primaria, 44, 280-
287.
Pampel, F.C., Krueger, P.M. and Denney, J.T. (2010). Socioeconomic disparities in
health behaviors. Annual Review of Sociology, 36, 349-370.
Pereira, M., Carreira, H., Vales, C., Rocha, V., Azevedo, A. and Lunet, N. (2012).
Trends in hypertension prevalence (1990-2005) and mean blood pressure (1975-
2005) in Portugal: A systematic review. Blood Pressure 4, 220- 226.
Pérez, A. (2011). Self-management of hypertension in Hispanic adults. Clinical Nursing
Research, 20, 347-365.
Perk, J., De Backer., G, Gohlke, H., Graham, I., Reiner, Z., Verschuren, M. et al.
(2012). European guidelines on cardiovascular disease prevention in clinical
practice (version 2012). The Fifth Joint Task Force of the European Society of
Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical
Practice. European Heart Journal, 33, 1635-1701.
Peters, R.M., Aroian, K.J. and Flack, J.M. (2006). African American culture and
hypertension prevention. West Journal of Nursing Research, 28, 831-863.
Petrie, K.J. and Weinman, J. (1997). Perceptions of health and illness. London:
Harwood Academic.
Pickett, S., Allen, W., Franklin, M. and Peters, R.M. (2014). Illness beliefs in African
Americans with hypertension. Western Journal of Nursing Research, 36, 152-170.
Pitsavos, C., Milias, G.A., Panagiotakos, D.B., Xenaki, D., Panagopoulos, G. and
Stefanadis, C. (2006). Prevalence of self-reported hypertension and its relation to
247
dietary habits, in adults; A nutrition & health survey in Greece. BMC Public Health,
6, 206-214.
Player, M.S. and Peterson, L.E. (2011). Anxiety disorders, hypertension, and
cardiovascular risk: A review. The International Journal of Psychiatry in Medicine,
41, 365-377.
Rainforth, M.V., Schneider, R.H., Nidich, S.I., Gaylord-King, C., Salerno, J.W. and
Anderson, J.W. (2007). Stress reduction programs in patients with elevated blood
pressure: A systematic review and meta-analysis. Current Hypertension Reports,
9, 520-528.
Raude, J. and Setbon, M. (2011). Predicting the lay preventive strategies in response
to avian influenza from perceptions of the threat. PLoS ONE 6, 1-12.
Ross, S., Walker, A. and McLeod, M.J. (2004). Patient compliance in hypertension:
Role of illness perceptions and treatment beliefs. Journal of Human Hypertension,
18, 607-613.
Sabzmakan, L., Morowatisharifabad, M.A., Mohammadi, E., Mazloomy-Mahmoodabad
S.S., Rabiei, K., Naseri, M.H. et al. (2014). Behavioral determinants of
cardiovascular diseases risk factors: A qualitative directed content analysis. ARYA
Atherosclerosis, 10, 71-81.
Savoca, M.R., Quandt, S.A., Evans, C.D., Flint, T.L., Bradfield, A.G., Morton, T.B. et al.
(2009). Views of hypertension among young African Americans who vary in their
risk of developing hypertension. Ethnicity & Disease, 19, 28-34.
Schlomann, P. and Schmitke, J. (2007). Lay beliefs about hypertension: An
interpretative synthesis of the qualitative research. American Academy of Nurse
Practitioners, 19, 358-363.
Schoenberg, N. and Drew, E.M. (2002). Articulating silences: Experiential and
biomedical constructions of hypertension symptomatology. Medical Anthropology
Quarterly, 16, 458-475.
Schuit, A.J., van Loon, A.J., Tijhuis, M. and Ocké, M. (2002). Clustering of lifestyle risk
factors in a general adult population. Preventive Medicine, 35, 219-224.
Scisney-Matlock, M., Watkins, K.W. and Collins, K.B.(2001). The Interaction of age and
cognitive representations in predicting blood pressure. Western Journal of Nursing
Research, 23, 476-489.
Searle, A., Norman, P., Thompson, R. and Vedhara, K. (2007). Illness representations
among patients with type 2 diabetes and their partners: Relationships with self-
management behaviours, Journal of Psychosomatic Research, 63, 175-184.
248
Selem, S.S., Castro, M.A., Galvao, C.L., Lobo, D.M. and Fisberg, R.M. (2013). Validity
of self-reported hypertension is inversely associated with the level of education in
Brazilian individuals. Arquivos Brasileiros de Cardiologia, 100, 52-59.
Sparrenberger, F., Cichelero, F.T., Ascoli, A.M., Fonseca, F.P., Weiss, G., Berwanger
O. et al. (2009). Does psychosocial stress cause hypertension? A systematic
review of observational studies. Journal of Human Hypertension, 23, 12-19.
Sterba, K.R. and DeVellis, R.F. (2009). Developing a spouse version of the Illness
Perception Questionnaire-Revised (IPQ-R) for husbands of women with
rheumatoid arthritis. Psychology & Health, 24, 473-487.
Sullivan, H.W., Finney Rutten, L.J., Hesse, B.W., Moder, R.P., Rothman, A.J. and
McCaul, K.D. (2010). Lay representations of cancer prevention and early
detection: Associations with prevention behaviours. Preventing Chronic Disease,
7, 1-11.
Valderrama, A.L., Tong, X., Ayala, C. and Keenan, N.L. (2008). Prevalence of self-
reported hypertension, advice received from health care professionals, and actions
taken to reduce blood pressure among US adults health styles. The Journal of
Clinical Hypertension, 12, 222-232.
Valdés, S., García-Torres, F., Maldonado-Araque, C., Goday, A., Calle-Pascual, A.,
Soriguer, F. et al. (2014). Prevalence of obesity, diabetes and other cardiovascular
risk factors in Andalusia (Southern Spain). Comparison with national prevalence
data. The [email protected] Study. Revista Española de Cardiología (English Edition), 67,
442-448.
Van Eenwyk, J., Bensley, L., Ossiander, E.M. and Krueger, K. (2012). Comparison of
examination-based and self-reported risk factors for cardiovascular disease,
Washington State, 2006-2007. Prevention of Chronic Disease, 9, 321-332.
Van Oort, L., Schroder, C. and French, D.P. (2011). What do people think about when
they answer the Brief Illness Perception Questionnaire? A ‘think-aloud’ study.
British Journal of Health Psychology, 16, 231-245.
Van Oostrom, I., Meijers-Heijboer, H., Duivenvoorden, H.J., Brocker-Vriends, A.H., Van
Asperen, C.J. Sijmons, R.H. et al. (2007a). Prognostic factors for hereditary cancer
distress six months after BRCA1/2 or HNPCC genetic susceptibility testing.
European Journal of Cancer, 43, 71-77.
Van Oostrom, I., Meijers-Heijboer, H., Duivenvoorden, H.J., Brocker-Vriends, A.H., Van
Asperen, C.J., Sijmons, R.H. et al. (2007b). Comparison of individuals opting for
BRCA1/2 or HNPCC genetic susceptibility testing with regard to coping, illness
perceptions, illness experiences, family system characteristics and hereditary
cancer distress. Patient Education and Counseling, 65, 58-68.
249
Van Oostrom, I., Meijers-Heijboer, H., Duivenvoorden, H.J., Brocker-Vriends, A.H., Van
Asperen, C.J., Sijmons, R.H. et al. (2007c). The common sense model of self-
regulation and psychological adjustment to predictive genetic testing: A
prospective study. Psycho-Oncology,16, 1121-1129.
Wang, C., Miller, S.M., Egleston, B.L., Hay, J.L. and Weinberg, D.S. (2010). Beliefs
about the causes of breast and colorectal cancer among women in the general
population. Cancer Causes Control, 21, 99-107. Weinman, J., Heijmans, M. and Figueiras, M. (2003). Carer perceptions of chronic
illness. In L.D. Cameron and H. Leventhal (eds), The self-regulation of health and
illness behaviour (pp. 207-219). London: Routledge.
Weinman, J., Petrie, K., Moss-Morris, R. and Horne R (1996). The Illness Perception
Questionnaire: A new method for assessing the cognitive representation of illness.
Psychology & Health, 11, 431-435.
Weinman, J., Petrie, K., Sharpe, N. and Walker, S. (2000). Causal attributions in
patients and spouses following first-time myocardiac infarction and subsequent
lifestyle changes. British Journal of Health Psychology, 5, 263-273.
Wiehe, M., Fuchs, S.C., Moreira, L.B., Moraes, R.S., Pereira, G.M., Gus, M. et al.
(2006). Absence of association between depression and hypertension: Results of
a prospectively designed population-based study. Journal of Human Hypertension,
20, 434-439.
Wilson, R.P., Freeman, A., Kazda, M.J., Andrews, T.C., Berry, L., Vaeth, P.A. et al.
(2002). Lay beliefs about high blood pressure in a low- to middle-income urban
African-American community: An opportunity for improving hypertension control.
The American Journal of Medicine, 112, 26-30.
World Health Organization (2013). Información general sobre la hipertensión en el
mundo. Geneva: World Health Organization.
Yan, L.L., Liu, K., Matthews, K.A., Daviglus, M.L., Ferguson, T.F. and Kiefe, C.I.
(2003). Psychosocial factors and risk of hypertension. The Coronary Artery Risk
Development in Young Adults (CARDIA) Study. JAMA, 290, 2138-2148.
Zhang, W. and Li, N. (2011). Prevalence, risk factors, and management of
prehypertension International Journal of Hypertension, 2011, Article ID 605359.
Zlot, A.I., Valdez, R., Han, Y., Silvey, K. and Leman, R.F. (2010). Influence of family
history of cardiovascular disease on clinicians’ preventive recommendations and
subsequent adherence of patients without cardiovascular disease. Public Health
Genomics, 13, 457-466.
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251
CAPÍTULO 11
ESTUDIO 5
Multidimensional psychosocial profiles clustering
illness perceptions and preventive behaviours for hypertension
among non-hypertensive individuals
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Abstract
Personal representations about illnesses (i.e., illness schemata) have received
increasing interest because they help in understanding health-related behaviours and
health outcomes. The present research was conducted to explore the associations
between hypertension (HT) cognitive and emotional constructions, perceptions of HT
as a risk factor for further health threats and perceived and practiced preventive
behaviours, with the aim of supporting the relationship illness perceptions-behaviour
predicted by the Self-Regulation Model. A cross-sectional study was conducted with a
community-based, convenience sample of normotensive adults who completed several
self-reports on their illness perceptions, perceptions about HT as a health risk factor as
well as possible risks derived from HT, perceived preventive behaviours for reducing
the risk of suffering from HT and their practice of these preventive behaviours. To
establish different psychosocial multidimensional profiles according to the variables of
the study, a multivariate k-means cluster analysis was performed. Results showed that
Spanish normotensive adults can be divided in three multidimensional profiles: Clusters
1 (48.8%) and 2 (5.4%) were composed of participants with low and very low,
respectively, awareness of HT seriousness and linked risks who were poorly
concerned about suffering from HT and derived consequences. They endorsed
inaccurate, excessively optimistic cognitive and emotional representations about the
disease, particularly participants in cluster 2; they also demonstrated low value
conceded to preventive options. On the other hand, Cluster 3 (45.9%) was composed
of participants with high awareness and concern of HT seriousness and linked risks as
well as higher value conceded to preventive options. They had more realistic illness
perceptions on HT which also were more adjusted to biomedical knowledge. These
profiles were related with the practice of preventive behaviours, so participants of
profile 3 demonstrated a relative higher investment in preventive efforts in comparison
with the other two profiles, particularly with cluster 2, which showed dramatically lower
preventative investment. Some differences related to family experience, sex and
socioeconomic status were also found. Our findings are useful in designing
interventions aimed at HT prevention considering multidimensional profiles of illness
schemata and other related psychosocial variables.
Keywords: Illness representations, illness cognitions, illness schemata, k-means
cluster analysis, self-regulation model, disease prevention.
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Introduction
Hypertension (HT), systolic/diastolic blood pressure (BP) ≥140/90mmHg, is an
important public-health challenge in both economically developed and developing
nations (Kearney et al., 2005). The World Health Organization (WHO) in its report
"General Information on HT in the World" states that the prevalence of HT has
increased in a remarkable way worldwide, to the point that currently, 40% of 25-years-
old or older population has an elevated BP (WHO, 2013). In Spain, HT affects to 47%
of adult men and 39% of adult women, with slightly higher prevalence rates in the
Southern region of the country (44%) compared to other regions (Grau et al., 2011;
Valdés et al., 2014). Estimations for future rates of prevalence worldwide are alarming,
pointing to an increase by about 60% for 2025 (Kearney et al., 2005). Unfortunately, a
significant number of individuals with HT are unaware of their condition and, among
those with a diagnosis, treatment is frequently inadequate (Kearney et al., 2004). Both
in Spain and other nations, nearly 1/3 of patients does not know that they are affected
by the disease, and only 50% is in treatment, with only 1 in 3 of men and 1 in 2 women
well controlled by therapies (Banegas et al., 2011; Félix-Redondo et al., 2011; Ortiz et
al., 2011).
Although HT is not a severe disease by itself, it is considered a “silent killer”
because high BP is an important risk factor for other more serious disorders such as
cardiovascular, kidney, eye or respiratory diseases. Thus, HT is a major source of
morbidity and mortality, and it has been stated as the first risk factor for global disease
burden, explaining 7% of deaths and disability-adjusted life years (Lim et al., 2012). An
added problem is that a significant percentage of individuals, 30-50% of worldwide
population (Banegas, 2005; Guo et al., 2011; Marta et al., 2013; Ostrowski, Artyszuk,
Lewandowski & Gaciong, 2008; Zhang & Li, 2011), has BP levels considered as
prehypertensive (a systolic BP of 120-139 mmHg or a diastolic BP of 80-89 mmHg),
which arises the risk of, among others, cardiovascular events considering the continuity
of the cardiovascular risk over the levels of BP (Huang et al., 2013).
Consequently, there is a need of interventions at a population level to improve
awareness, treatment and control of HT in the community. But, given the figures of
prevalence, unawareness and inadequate control among patients and the important
health risks related to this silent killer, there is a need for interventions aimed at
preventing the development of HT.
A number of controllable risk factors for HT have been well-established, including
lifestyle and behaviour-related factors such as excessive body weight, suboptimal
dietary pattern, high dietary sodium and low dietary potassium, reduced physical
activity, smoking and excess alcohol intake (Forman, Stampfer & Curhan, 2009; Frisoli,
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Schmieder, Grodzicki & Messerli, 2011; Lloyd-Jones et al., 2010; Liu et al., 2012;
Mozaffarian, Wilson & Kannel, 2008; Perk et al., 2012; WHO, 2013). Furthermore,
emotional-distress risk factors have been also identified, including stress (Babu et al.,
2014; Backé, Seidler, Latza, Rossnagel & Schumann, 2012; Chida & Steptoe, 2010;
Gasperin, Netuveli, Soares & Pattussi, 2009; Landsbergis, Dobson, Koutsouras &
Schnall, 2012; Nagele et al., 2014; Rainforth et al., 2007; Sparrenberger et al., 2009),
anxiety (Olafiranye, Jean-Louis, Zing, Nunes & Vicent, 2011; Player & Peterson, 2011)
and depression (Meng, Chen, Yang, Zheng & Hu, 2012; Nabi et al., 2011). Those risk
factors are present not only at the adulthood but many years before (Kann et al., 2014;
Moreno-Gómez et al., 2012).
The prevalence of these risk factors for HT in the general population is high. The
WHO (2013) has stressed that the arise in the incidence and prevalence of HT
worldwide may be explained by the higher incidence of these lifestyle risk factors,
along with the population increase and their progressive higher longevity. In order to
prevent BP levels from rising, primary and secondary prevention should be introduced
to reduce or minimize these causal factors in the population, particularly in individuals
with prehypertension (Guo et al., 2011). A community approach that decreases BP
levels in the general population by even modest amounts has the potential to
substantially reduce morbidity and mortality or at least delay the onset of HT and
derived health threats (Chobanian et al., 2003). Dickinson et al. (2006), in a review of
randomized controlled trials about lifestyle interventions to reduce raised BP, found that
controlling diet, doing aerobic exercise, restricting alcohol and sodium consumption
and taking fish oil supplements are effective ways to reduce BP in HT patients. Despite
recommendations regarding lifestyle change for HT prevention coming from several
institutions and professional associations, there is limited research focused on primary
prevention of HT and factors associated to behavioural change.
Research about HT prevention in non-hypertensive population is lacking and has
been conducted mainly with samples limited in their characteristics such as minorities
(e.g., Aroian, Rosalind, Rudner & Waser, 2012; Gopinath et al., 2014; Newell,
Modeste, Marshak & Wilson, 2009; Peters, Aroian & Flack, 2006; Savoca et al., 2009),
and the findings show that family experience, culture, age and gender influences
should be considered. It has pointed out that, in general, this population is moderately
aware about risk factors for HT and health threats linked to HT and how to prevent the
disease, but do not change their life-style in order to avoid HT due to several perceived
barriers such as perceived difficulty and lack of resources, low self-efficacy or the
negative influences of several factors such as family experience with the disease,
culture or family and social support.
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Nevertheless, none of these studies explored illness representations based on the
Self-Regulation Model (SRM) and their possible influence on preventive perceptions
and efforts. According to the SRM, also known as the Common Sense Illness
Representations Model (Cameron & Moss-Morris, 2004; Diefenbach & Leventhal,
1996; Leventhal, Brissette & Leventhal, 2003; Leventhal & Diefenbach, 1991;
Leventhal, Diefenbach & Leventhal, 1992; Leventhal, Leventhal & Cameron, 2001;
Leventhal, Leventhal & Contrada, 1998; Leventhal et al., 1980, 1984, 1997), both
healthy and ill people construct non-specialised models about illnesses which comprise
a series of cognitive and emotional representations, in order to create an integrated,
comprehensible and meaningful picture of a health-threatening condition. These illness
representations directly influence individuals' illness-related problem- and emotion-
focused coping actions (such as adherence to medical recommendations and
management of sadness), conducted for facing perceived risks in order to protect their
health, or to manage their condition when already ill for controlling disease-derived
consequences and recovering well-being; and indirectly, by a mediation path of
actions, illness representations also influence the adjustment to the disease and the
consequences of illnesses (such as health status, well-being, quality of life or daily
functioning) (see French, Cooper & Weinman, 2006; Hagger & Orbell, 2003; Kaptein et
al., 2003; Kucukarslan, 2012; Lobban, Barroclough & Jones, 2003; Mc Sharry, Moss-
Morris & Kendrich, 2011; Petrie & Weinman, 1997 for a review).
Based on the postulates of the SRM, illness representations are, thus, relevant for
the prevention and management of diseases (Cameron & Leventhal, 2003; Cameron &
Moss-Morris, 2004; Leventhal et al., 1980, 1998, 2003). Illness representations guide
actions to promote health, detect risk and prevent illnesses; behaviours to manage
acute and chronic illnesses; and the expression of preferences and treatment decisions
during terminal illness (Leventhal et al., 2011). According to the SRM, it is expected
that healthy people avoid risks, seek medical care, undergo medical exams or
screening tests or adopt new healthy behaviours depending on the specific contents of
their illness representations. Besides, it is expected that more accurate beliefs will lead
non-patients to carry out more appropriate and beneficial behaviours to face health
threats.
Illness representations schemata and efforts for lowering and controlling high blood
pressure
Recently, there has been an increasing interest in identifying intra-individual
configurations of perceptions that people may have on a specific disease, beyond
concrete representations considered individually or separately. Following Clatworthy,
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Hankins, Buick, Weinman & Horne (2007), people do not hold illness representations in
isolation; instead, these representations are part of a schema, so that when analyzing
their influences on an outcome variable (for example, health-related behaviours, illness
management actions or health outcomes) it seems more appropriate to take into
account all aspects of a person's illness schema. Moreover, if different groups of
people within a sample have profiles of illness perceptions that affect behavioural or
health-related outcomes in different ways, it does not make sense to conduct
nomothetic analysis using variables drawn from the entire sample, which may mask the
real relationships between independent or predictor and dependent or predicted
variables. The presentation of these profiles of beliefs and their prevalence may be
more meaningful and easily interpreted than means and standard deviations of the
entire sample, and allows for examining the utility of the SRM in predicting actions and
outcomes derived from, or linked to, these beliefs (Clatworthy et al., 2007). Besides,
groups of people with schemata associated with poor coping or outcome would be
ideal targets for interventions (Clatworthy et al., 2007). The cluster analysis would not
only identify these groups but would also provide information on the types of beliefs
held by the groups that may need to be addressed in an intervention (p. 126).
Based on the seminal work by others demonstrating different schemata on illness
perceptions and their influences on the reactions to diseases such as Addison disease,
breast cancer, chronic fatigue syndrome and chronic pain, including coping efforts,
quality of life and adjustment to the disease (Buick, 1997; Heijmans, 1999; Heijmans
and De Ridder, 1998; Hobro, Weinman & Hankins, 2004; Moss-Morris, 1997), some
research has been conducted recently with patients suffering from several diseases
attempting to profile participants based on their cognitive and emotional
representations on the disease they suffer from in order to predict or to compare
behavioural or health-related outcomes (see Table 1). This research has revealed
consistently the utility of clustering patients in order to explore the influence of illness
representations on patient's coping and caring behaviours or well-being, based on the
relationship between illness perceptions, management actions and health outcomes
proposed by the SRM. Some research is focussed on health-related outcomes (e.g.,
Crawshaw, Rimington, Weinman & Chilcot, 2015; Dempster et al., 2010; Harrison,
Kohlman & McCorry, 2014; Kaptein et al., 2010; Kohlman, Rimington & Weinman,
2012; McCorry et al., 2013; Miglioretti, Mazzini, Oggioni, Testa & Monaco, 2008;
Skinner et al., 2011; Snell, Surgenor, Hay-Smith, Williman & Siergert, 2015). In
general, the more positive the illness perceptions endorsed, the better the clinical
outcomes linked to the disease. Other studies include any form of health-related
managing behaviour (e.g., Charlier et al., 2012; Harrison et al., 2014; Kohlmann et al.,
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2012; Letelier, Nuñez & Rey, 2011; Lin & Hiedrich, 2012; Lowe, Porter, Snooks, Button
& Evans, 2011; Medley, Powell, Worthington, Chohan & Jones, 2010). Contrary to
health-related outcomes, for which findings clearly show a positive association between
more positive illness perceptions and lower impairment, findings for the link between
illness representations and managing behaviours are less conclusive or even
contradictory, though in general a positive trend is demonstrated. Of all the studies
reviewed, only those by Charlier et al. (2012) and Snell et al. (2015) clustered
participants based on multidimensional psychosocial profiles (i.e., including other
variables besides illness perceptions). Moreover, as far as we know only one study has
been conducted with non-patients, concretely with carers of cancer survivors, and it
focussed on changes in emotional distress and coping experienced by the participants
as a consequence of diverse trajectories overtime of cancer-related illness
representations (Graham, Dempster, McCorry, Donnelly & Johnston, 2015).
This study was designed to identify groups of people that share similar illness
schemata on HT and to explore the relationship between different configurations or
profiles of perceptions on HT and a behavioural outcome, preventive actions, among
non-patients from the general population. To our knowledge, only two studies
(Figueiras et al., 2010; Hsiao, Chang & Chen, 2012, see Table 1) were conducted with
hypertensive patients in order to identify groups of patients that share a similar pattern
of illness perceptions and whether these profiles influenced coping or caring actions.
However, there is no research of this nature conducted with non-patients, and thus
there is a lack of empirical evidence supporting the same effect among healthy people.
Consequently, a core aspect of the present study is to investigate the relationship
between overall schema of illness perceptions and behavioural outcomes among non-
patients who have different experience with HT in terms of family experience, with the
aim of testing the relationship illness perceptions-behaviour predicted by the SRM.
Moreover, we were interested in exploring multidimensional trajectories that include not
only cognitive and emotional representations of HT but also other perceptions related
to the disease not included in the SRM, concretely perceptions of HT as a risk factor for
further health threats and perceptions on preventive behaviours, in order to clarify the
possible association of these complex schemata and preventive behaviour.
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Table 1: Clusters identified in previous research and main characteristics of each cluster.
With HT Patients
Study Number of clusters (Method for clustering)
Characteristics of each cluster (illness perceptions) Influences on behavioural or health-related outcomes
Figueiras et al. (2010) (Brief-IPQ was used. Causes dimension was excluded. Chronic and cyclical timeline were considered in one dimension. Emotional representations were separated in emotional impact and concern)
3 (AHCA with Ward's method)
"More negative" (36.2%): Highest identity, consequences, emotional impact and concern, higher chronic timeline and lower personal and treatment control. Lower coherence. "Moderately negative with low control and understanding" (40.1%): Lowest personal and treatment control, moderate identity, consequences and emotional impact, higher chronic timeline and concern. Lowest coherence. "More positive" (23.7%): Lowest identity, consequences, chronic timeline, emotional impact and concern and highest personal and treatment control and coherence. No differences for gender, age and education according to each illness schemata identified.
General schemata on HT: Moderate-to-high perceptions of symptoms, serious consequences, chronic timeline, high concern and negative emotional impact. High personal and treatment control. Good comprehensibility. Patients preferred brand medicines compared to generic medicines. Illness perceptions were associated with participants' beliefs about necessity and concerns about medication: A greater belief in the necessity and concern about treatment was associated with a more negative perception of HT in terms of symptoms, consequences, chronic timeline, emotional impact and concern. A greater belief in personal and treatment control was positively associated with perceived necessity of treatment and it was not associated with concern about taking medicines. Illness coherence was not related to perceived necessity or concern about medication. Outcome variables: C1 were more likely to choose a brand medicine, whereas C2 were more likely to choose a generic medicine. C3 chose equally brand and generic medicines. No effect of age, gender and education level as covariates.
Hsiao et al. (2012) (Causes dimension was excluded)
3 (AHCA with Ward's method)
"More positive but low controllability" (46.2%): Lower identity, lowest chronic and cyclical timeline, negative consequences and emotional representations. Higher treatment control but lowest personal control. Highest coherence. [More women] "More negative but high controllability" (12%): Highest identity, cyclical timeline, consequences and emotional representations, high chronic timeline. Highest personal and treatment control. Lowest coherence.[Oldest] "Mixed with high understanding" (41.9%): Lowest identity, highest chronic timeline, moderate-to-high cyclical timeline, consequences and emotional representations. Highest personal control but lowest treatment control. Highest coherence. No differences by gender, age, education and comorbidity among clusters.
General schemata on HT: Low level of symptoms, negative consequences, chronic but stable disease, relatively high emotional impact. High personal and treatment controllability. Good comprehensibility. Average adherence to drug treatments was moderately high (62.6%). Outcome variables: C1 had the best drug adherence, and C2 had the worst drug adherence.
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With patients with other diseases
Study Number of clusters (Method for clustering)
Characteristics of each cluster (illness perceptions) Influences on behavioural or health-related outcomes
Dempster et al. (2010)a With oesophageal cancer patients (Cluster analysis was used to identify groups of respondents who reported a similar profile of change in their illness perception over 1 year) (Emotional representations dimension was excluded. Causes dimension was factorized in emotional, behavioural and externalized causes)
4 (AHCA with Ward's method & k-means NHCA)
"More positive over time" (30.1%): Decreased identity, chronic and cyclical timeline and consequences, increased treatment control, decreased all perceived causes. Decreased personal control. Increased coherence. "Changing to more positive" (28%): Increased personal control and decreased treatment control over time. Decreased identity, increased chronic timeline, decreased cyclical timeline, decreased consequences, increased emotional and external causes. Increased coherence. "More negative over time" (23.3%): Decreased identity, increased chronic and cyclical timeline and consequences, decreased personal and treatment control. Decreased coherence. "Changing to more negative with increased control" (18.6%): Increased cyclical timeline and consequences, increased behavioural and external causes, decreased emotional causes. Increased personal and treatment control. Decreased coherence.
Changes in outcome variables over time were analysed. Anxiety and depression were stable or, more frequently, worse over time. Outcome variables: Anxiety and depression increased more over time in C3 than C1, as coping also changed. Cluster membership contributed to the prediction of changes in anxiety over time, but it was the less important predictor. Medical and sociodemographic conditions followed by coping explained the highest proportion. Cluster membership contributed to the prediction of changes in depression over time. Coping explained the highest proportion of change and medical and sociodemographic conditions the lowest proportion.
Charlier et al. (2012) With breast cancer patients (Identity and causes dimensions were excluded)
4 (AHCA with Ward's method & k-means NHCA)
MULTIDIMENSIONAL PSYCHOSOCIAL AND CLINICAL CLUSTERS (illness perceptions, emotional distress and coping) "Low distress-active approach group" (21.2%): Lowest chronic and cyclical timeline, consequences and emotional representations and highest personal and treatment control and coherence. Lower physical symptoms and fatigue and lowest psychological distress (anxiety and depression), best self-perceptions (future perspectives, self-esteem and body image), higher social support and highest problem-oriented coping, higher avoidance and lower emotional-oriented coping. "Low distress-resigned approach group" (32.3%): Very similar to C1, but lower personal and treatment control and higher chronic timeline, and poorer social support, lower problem-oriented coping and lowest avoidance and emotional coping. Lowest symptoms and fatigue. [Oldest] "High distress-active approach group" (24.2%): Higher chronic and cyclical timeline, consequences and emotional representations and lower personal and treatment control and coherence. Highest levels of physical symptoms, higher fatigue, lower psychological functioning, higher emotional distress, highest social support higher problem- and emotion-focused coping, and highest avoidance coping. [Most likely chemotherapy and participation in onco-revalidation program] "High distress-emotional approach group" (22.3%): Very similar to
Outcome variables: Physical activity levels were higher in C1 and C2 compared to C4. Women in C2 reported the lowest need for information and support for physical activity and women in C3 the highest one, whereas C1 and C4 were not different.
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C3 but with the worse levels in all the variables: Highest chronic and cyclical timeline, consequences and emotional representations, lowest personal and treatment control and coherence. Higher symptoms and highest fatigue, poorest psychological functioning and highest emotional distress, lowest social support, lowest use of problem-oriented coping, higher use of avoidance coping and highest use of emotional-focused coping. [Least likely to work]
McCorry et al. (2013) With breast cancer patients (Clusters were established at baseline. Emotional representations dimension was excluded. Causes dimension was factorized in emotional, behavioural and externalized causes)
2 (AHCA with Ward's method & k-means NHCA)
"More negative perceptions" (63.2%): Greater symptoms, higher chronic and cyclical timeline, higher consequences and lower personal and treatment control. Lower coherence. Higher perceived causes of any type. "More positive perceptions" (36.8%): Lower symptoms, lower chronic and cyclical timeline, lower consequences and higher personal and treatment control. Higher coherence. Lower perceived causes of any type.
Outcome variables: C1 demonstrated higher levels of depression and anxiety. Anxiety and depression were predicted more importantly by illness perceptions clustering at the short time after diagnosis, and by coping at 6-month follow-up. Medical and sociodemographic conditions explained the lowest proportion at any time, and had lower contribution over time.
Medley et al. (2010) With brain injury patients (Emotional representations dimension was used as an outcome indicator of psychological distress. Causes dimension was excluded)
3 (AHCA with Ward's method)
“Low control/ambivalent” (23.6%): Lower symptoms, highest chronic timeline, lower cyclical timeline, lower consequences, lowest personal and treatment control. Lowest coherence. “High salience” (55.9%): Highest symptoms, higher chronic timeline, highest cyclical timeline, highest consequences, higher personal and treatment control. Lower coherence. “High optimism” (20.5%): Lowest symptoms, lowest chronic timeline and cyclical timeline, lowest consequences, highest personal and treatment control. Highest coherence. No differences by age, gender, education level or clinical indicators.
Outcome variables: C2 showed greater self-awareness of difficulties linked to their condition and range of coping strategies, including emotion-focused coping and wishful thinking, as well as the highest emotional impact. C1 & C3 showed lower levels of awareness, but differed in coping styles, with C1 showing a trend towards more avoidance coping. C3 showed the lowest emotional impact.
Snell et al. (2015) With brain injury patients (Clusters were established at baseline. Causes, personal control and treatment control dimensions were excluded)
3 (AHCA with Ward's method & k-means NHCA)
MULTIDIMENSIONAL PSYCHOSOCIAL AND CLINICAL CLUSTERS (illness perceptions and emotional distress) "High-adapters" (36.3%): Lowest identity, chronic and cyclic timeline, consequences and emotional representations, highest coherence. Lowest emotional distress (anxiety and depression). "Medium-adapters" (38.3%): Higher identity, chronic and cyclic timeline, consequences and emotional representations, lower coherence. Higher emotional distress (anxiety and depression). "Low-adapters" (25.4%): Highest identity, chronic and cyclic timeline, consequences and emotional representations, lowest coherence. Highest emotional distress (anxiety and depression). [Longest duration of symptoms, longest period post-injury, highest odds of post-injury intervention and of past or current psychiatric illness]. No differences by age, gender, education level, ethnicity, work status at time of injury or other clinical indicators.
Outcome variables: Baseline cluster-group membership was significantly associated with outcomes over time. High-adapters appeared recovered at recruitment and medium-adapters revealed almost similar improvements by 6-months. The low-adapters reported more symptoms, negative recovery expectations and distress at baseline and follow-up, being significantly at risk for poor outcome more than 6-months after injury.
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Lin & Hiedrich (2012) With mild cognitive impairment (Causes dimension was excluded)
3 (AHCA with Ward's method & k-means NHCA)
"Few symptoms and positive beliefs " (28.6%): Lowest identity, consequences, cyclic evolution and emotional representations. "Moderate symptoms and positive beliefs " (42.9%): some symptoms but low consequences and emotional responses. "Many symptoms and negative beliefs " (28.6%): Highest identity, consequences, cyclic evolution and emotional representations. * Duration, personal control, treatment control and coherence: No differences. No differences by sociodemographic and clinical indicators, excepting C2 had higher family experience.
Outcome variables: C1 used fewer memory aids, problem-focused coping strategies, emotion-focused coping strategies, and dysfunctional coping strategies than C2 and C3. No differences for dementia preventive behaviours and use of supportive services.
Miglioretti et al. (2008) With amyotrophic lateral sclerosis (IPQ was used. Dimensions included were identity, consequences, chronic&cyclical timeline, personal&treatment control and causes)
2 (k-means NHCA)
"Adaptors" (52.7%): Lowest identity and consequences, highest controllability. Lowest attributions of the disease to external factors such as chance, or to poor medical care in the past. [Highest respiratory function] "Non-adaptors" (47.3%) * Timeline: No differences. No differences by age, gender and clinical indicators, excepting respiratory function (forced vital capacity).
Outcome variables: C1 demonstrated better mood status and physical and mental health-related quality of life.
Kaptein et al. (2010)a With osteoarthritis patients (Cluster analysis was used to identify groups of respondents who reported a similar profile of change in their illness perception over 6 years) (Causes dimension was excluded)
2 (AHCA with Ward's method & k-means NHCA)
"More negative illness perceptions over time" (47.5%) "More positive illness perceptions over time" (52.5%) No information on illness perception is offered for each cluster besides changes in patterns over time. Clusters differed according to changes in illness perceptions pattern over a six-year period: Those in C1 demonstrated increases in identity, chronic timeline and consequences, and decreases in personal and treatment control and emotional representations. Those in C2 demonstrated decreases in identity, chronic timeline, consequences and emotional representations, and increases in personal and treatment control. * Cyclical timeline and coherence: No differences.
Outcome variables: Physician reported pain intensity remained stable from baseline to 6-year follow-up and there were no differences between clusters in pain intensity over time. However, evolution in clinical status was significantly worse for C1 compared to C2, even when it was better at baseline for the first group; C2 remained stable or improved, depending on the indicator of functional impairment.
Skinner et al. (2011)a With type 2 diabetes patients (Clusters were established at first follow-up, 4 months after the intervention. Perceived seriousness, consequences and impact were measured with different measures than remaining dimensions. Treatment control, evolution and causes dimension were excluded)
4 (AHCA with Ward's & average linkage methods)
"Resisters" (31.5%) & "Resisters accepting consequences" (37.7%): In general, lower scores in duration, personal control, seriousness, impact and coherence. C1: Lowest scores in all the measures except perceived impact. "Accepters" (18.8%) & "Accepters resisting consequences" (12%): In general, higher scores in duration, personal control, seriousness and coherence, except C3: Lowest impact. [C4: Youngest]. No differences by gender or race.
64% of the participants remained within the same cluster group across assessments. Outcome variables: All groups improved in glycaemic control at the short-term (4 months) and maintained this control (8 and 12 months). C3 showed the better glycaemic control at the short-term. At medium- or long-term, no differences between cluster were found. All groups decreased BMI at the short-term and maintained this decline, but C3 also showed the lowest BMI at any time. Depression was very stable over time. There were differences for depression at baseline and in all follow-ups, with C1&2 being more depressed and C3 less depressed at any time. Glycaemic control was predicted by personal control dimension at 4
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months and by none illness perception dimension at 12 months. With those who remained in the same cluster over time, personal control and perceived impact predicted glycaemic control at 4 months. BMI was predicted by seriousness dimension at 4 months and by non illness perception dimension at 12 months. With those who remained in the same cluster over time, no illness perception predicted BMI at any time. Depression was predicted by cluster membership (C3 predicted lower levels of depression and C1 predicted higher levels of depression), perceived impact and coherence at 4 and 12 months. With those who remained in the same cluster over time, perceived impact predicted depression levels at 4 and 12 months, and C1 predicted being more depressed at 12 months.
Letelier et al. (2011) With type 2 diabetes patients (Coherence and causes dimensions were excluded. Emotional representations dimension was used as an outcome indicator of psychological distress)
3 (AHCA with Ward's method & k-means NHCA)
"Preoccupied" (39,8%): Highest identity, consequences, cyclic and chronic timeline and highest personal and treatment control. [Oldest, lowest educational level, urban area] "Hopeless" (36.9%): Higher identity, consequences, cyclic and chronic timeline and lowest personal and treatment control. [Longest time under treatment and time knowing about the disease]. "Denier" (23.3%): Lowest identity, consequences and cyclic and chronic timeline, higher personal control and highest treatment control. [Shortest time under treatment and time knowing about the disease, youngest, highest educational level, rural area]. No differences were found for gender and marital status.
Outcome variables: C1 demonstrated higher emotional representations than C2 and C3, whereas C2 demonstrated higher scores than C3. C1 demonstrated higher perceptions of medication necessity and concerns about medication effects than C2 and C3, whereas C2 and C3 were not found as different. C1 was found to report a higher intention to adhere to treatment than C2.
Kohlmann et al. (2012)a
Crawshaw et al. (2015) With heart valve replacement patients (Clusters were established at baseline before the surgery and 12 months after the surgery. Causes dimension was excluded)
2 (AHCA with Ward's method & k-means NHCA)
"Negative perceptions" (41.2% at baseline; 42% at follow-up): Greater symptoms, higher chronic and cyclical timeline, higher consequences, lower personal and treatment control and higher emotional representations. Higher coherence. "Positive perceptions" (58.8%/ at baseline; 58% at follow-up): Fewer symptoms, less chronic and cyclical timeline, fewer consequences, higher personal and treatment control and lower emotional representations. Lower coherence. [Older, more males]
35.6% of participants changed their illness perceptions profile. According to their illness perceptions pattern over one year patients were grouped in four profiles: a) stable positive perceptions (N= 54), b) stable negative perceptions (N= 34), c) changing from positive to negative perceptions (N= 23, increased chronic timeline and decreased personal control), and d) changing from negative to positive perceptions (N= 25, increased personal and treatment control and decreased the remaining dimensions). Outcome variables: C2 and groups with positive perceptions one year after demonstrated better health status and quality of life and lower levels of emotional distress in the 12-month follow-up. No differences were found for rehab attendance after surgery. Cluster membership contributed to the prediction of health status and physical quality of life at 12 months, but it could not predict mental quality of life. All-cause mortality was recorded over a 10-year period. No differences in mortality risk between C1 and C2 were found for baseline and 1-year follow-up. After controlling for clinical covariates and sociodemographic
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factors, adjusted survival analyses revealed that patients who changed illness perceptions from positive to negative beliefs 1 year post-surgery had a x3 increased mortality risk compared to patients who held positive stable perceptions. (Not found for stable negative illness perceptions).
Grayson et al. (2013) With vasculitis patients (Causes dimension was excluded)
3 (k-means NHCA)
"Negative illness perceptions" (25%): Highest consequences and emotional representations and lowest personal control, treatment control and illness coherence dimensions. "Positive illness perceptions" (29%): Lowest consequences and emotional representations and highest personal control, treatment control and illness coherence. "Mixed illness perceptions" (46%): Lower consequences and emotional representations and higher personal control, treatment control and illness coherence. Gender, race, education, annual income, place of birth, disease duration, disease severity and remission duration were not predictors of illness perceptions.
Younger age, depression, active disease status and poor overall health were associated with negative illness perceptions. Illness perceptions were related to fatigue levels and, with the exception of chronic timeline, explained an equivalent proportion of variability in fatigue compared to measures of disease activity and other clinical indicators (remission duration, depression, sleep disturbances), and predicted it beyond these indicators and sociodemographic factors (age, race). Outcome variables: Influences of cluster membership on fatigue were not tested.
Harrison et al. (2014) With COPD patients (Causes dimension was excluded)
3 (AHCA with Ward's method & k-means NHCA)
"In control" (40,6%): Fewest symptoms, lower chronic timeline, lowest cyclical timeline, fewest consequences, highest personal control, lowest emotional representations. Lower coherence. [Oldest, more males and less disabled]. "Disengaged" (28.1%): Higher symptoms, lowest chronic timeline, lower cyclical timeline, lower consequences, lowest personal control, lesser emotional representations. Lowest coherence.[More disabled]. "Distressed" (31.3%): Highest symptoms, highest chronic and cyclical timeline, greatest consequences, lower personal control, highest emotional representations. Highest coherence.[Youngest]. * Treatment control: No differences.
Outcome variable: Anxiety and depression were lower in C1 and higher in C3. Health status was better in C1 and poorer in C3. Self-efficacy was higher in C1 and lower in C3. No differences in acceptance and adherence to pulmonary rehabilitation prior or following hospitalisation after acute exacerbation.
Lowe et al. (2011) With people using unscheduled urgent and emergency services for chronic and non-chronic diseases (Brief-IPQ was used. Causes dimension was excluded. Chronic and cyclical timeline were considered in one dimension. Emotional representations were separated in emotional impact and concern)
3 (AHCA with Ward's method & k-means NHCA)
"More negative & low control" (44.1%): Highest identity, consequences, emotional impact and concern, higher timeline and lowest personal control. High coherence. "More negative & high control" (30.4%): Higher consequences, emotional impact and concern, highest chronic timeline and personal control. Highest coherence. "More positive & low coherence" (25.5%): Lowest identity, consequences, chronic timeline, emotional impact and concern. Lowest coherence.
Outcome variables: C1 used secondary care in general more than C2 & 3, and used primary care more frequently with non-chronic conditions and more secondary and less community care with chronic conditions.
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With non-patients
Study Number of clusters (Method for clustering)
Characteristics of each cluster (illness perceptions) Influences on behavioural or health-related outcomes
Graham et al. (2014)a With carers of oesophageal cancer patients (Cluster analysis was used to identify groups of respondents who reported a similar profile of change in their illness perception over 1 year. Identity and emotional representations dimensions were excluded. Causes dimension was factorized in emotional, behavioural and externalized causes)
3 (AHCA with Ward's method & k-means NHCA)
"Moderately more negative over time" (46.2%): Marginal to moderate change in beliefs over time, with increased acute and cyclical timeline and consequences (for themselves and the survivor) and stronger causal beliefs, particularly emotional attributions. "More negative over time, lower consequences, higher coherence" (15.2%): Marked change over time of most illness beliefs, with increased chronic and cyclic timeline, patient and carer coherence and decreased personal (carer/survivor) and treatment control, consequences for carers and patients and causal attributions. "More positive over time, lower coherence" (38.6%): Marginal to moderate change, with decreased consequences for survivor and carer and causal attributions, and increased acute and cyclical timeline and personal and treatment controllability. Decreased coherence (patient and carer).
Changes in outcome variables over time were analysed. Anxiety and depression were stable or, more frequently, worse over time (1/3 of cases, approx.). Outcome variables: Anxiety and depression increased more over time in C1, while they decreased in C2 and C3; only C1 and C2 were significantly different. Fear/concern of recurrence was not different between clusters. No differences between clusters were found in coping. Cluster membership was the most important predictor of changes fear of recurrence over time: C3 vs. C1 exhibited decreased fear. Coping explained a limited proportion of change and medical and sociodemographic conditions were not significant predictors. Cluster membership contributed to the prediction of changes in depression over time: C2 and C3 vs. C1 exhibited decreased depression. Coping explained a limited proportion of change and medical and sociodemographic conditions were not significant predictors. Cluster membership marginally contributed to the prediction of changes in anxiety over time, but it was the less important predictor: C2 and C3 vs. C1 exhibited decreased anxiety. Coping explained the highest proportion.
Notes. a Illness perceptions change over time was used for clustering the cases. IQP-R: Revised Illness Perception Questionnaire (Moss-Morris et al., 2002) (Unless otherwise
noted, IPQ-R was used); Brief-IPQ: Brief Revised Illness Perception Questionnaire (Broadbent et al., 2006). AHCA: Agglomerative Hierarchical Cluster Analysis; NHCA: Non-
hierarchical (iterative) Cluster Analysis. Names of clusters were stated in the reports or assigned by the authors of the present study.
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Aims of the present research
The present research was conducted to explore the associations between HT
cognitive and emotional constructions, perceptions of HT as a risk factor for further
health threats and perceived and practiced preventive behaviours with the aim of
testing the relationship illness perceptions-behaviour predicted by the SRM.
Specifically, this study was conducted to explore three main objectives. First, we
sought to know whether normotensive Spanish population could be divided in different
profiles regarding their illness schemata on HT and other important related variables as
risks perceptions and preventive options linked to HT using the SRM as a theoretical
framework. In the case this division could be possible, we also wished to know the
characteristics of each one of the different profiles identified. Although to our
knowledge there is no study that investigates illness representations profiles in healthy
people different from carers of cancer patients, based on previous findings conducted
with HT patients (Figueiras et al., 2010; Hsiao et al., 2012) and other diseases using
the SRM (Table 1), we expected to find different profiles about HT representations and
other important variables for health outcomes. Given the lack of previous research, no
hypothesis on their specific configuration was stated.
Our second aim was to explore the possible influence of different
sociodemographic variables such as age, gender, and SES level and family experience
with HT in the configuration of the illness schemata about HT (i.e., in the profiles
identified previously). According to research in this arena, sociodemographic variables
have no influence on illness schemata of HT and other illnesses (Figueiras et al., 2010;
Grayson et al., 2013; Hsiao et al., 2012; Lin & Hiedrich, 2012; Medley et al., 2010;
Miglioretti et al., 2008; Skinner et al., 2011; Snell et al., 2015). So, we expected that
these variables exert little influence on the configuration of HT profiles. However, family
experience might stand out as a relevant influence (e.g., Lin & Hiedrich, 2012), being
related to more benevolent or optimistic schemata on HT.
Our last aim was to address the relationship between the different clusters of
illness representations on HT, risks perceptions and preventive options and an
important behavioural preventive strategy as is the practice of preventive behaviours in
the daily life of healthy Spanish population. Different studies with HT patients (Figueiras
et al., 2010; Hsiao et al.,2012) and other diseases (e.g., Charlier et al., 2012; Letelier et
al., 2011; Lin & Hiedrich, 2012; Lowe et al., 2011; Medley et al., 2010) have shown the
predictive value of different illness profiles in behavioural and coping strategies and
health related outcomes, so we expected that different schemata about HT led to
differences in the performance of preventive actions in order to avoid the development
of HT. Contrary to some of the evidence not supporting a connexion between illness
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schemata and behaviour (e.g., Graham, Dempster, McCorry, Donnelly & Johnston,
2015; Harrison et al., 2014; Kohlman et al., 2012; Lin & Hiedrich, 2012), we expected
to find that configurations including more negative illness illness-related factors which
are more adjusted to biomedical knowledge accompanied by stronger perceptions of
controllability will be associated to higher likeliness of conducting preventive
behaviours (Figueiras et al., 2010).
Methods
Participants
A community-based, convenience sample was recruited at random from private
households and community settings such as public transport stations, workplaces,
parks, healthcare service delivery locations, academic centres and shopping centres. A
total of 450 adults (72.7% women) 18 to 68 years old (M= 36.34, SD= 14.63)
participated in this research. Table 2 displays their most relevant characteristics.
Participants were mostly of a young age, with almost a half aged between 18-28 years
old. We synthesised education level, occupational status and family income in an
overall index and derived a composite socioeconomic index for socioeconomic status
(SES)1. Participants were mainly medium SES level. At the time of the study, none of
the participants had ever suffered from HT, although they reported to suffer from other
chronic diseases (22.9%, see Table 2), and 58% (261 participants) had lived (11.8%)
or were currently living (46.2%) with any relative who had HT.
1 Criteria for each SES level were as follows: 1) Low: a) no studies, primary or secondary school or vocational training, any work status (particularly domestic work, unemployment or retirement) and monthly family income up to 2000 euros, or b) unemployment with low income level, irrespective of educational level (this group contained mainly participants with low education level and low income level); 2) Medium: a) no studies, primary or secondary school or vocational training, any work status (particularly studying, employment or retirement) and monthly family income higher than 2000 euros, or b) university studies (any grade), any work status and monthly family income lower than 2000 euros (this group contained mainly participants with low-to-medium education level and high income level, or with high education level and low income level); 3) High: a) university studies (any grade), b) studying, employment or retirement, and c) monthly family income higher than 2000 euros (this group contained mainly participants with high education level and high income level who were studying, employed or retired). These criteria allowed to form three levels of SES which corresponded to SES levels in Spain derived from social indicators such as family income, occupation and education level according to data from the National Institute of Statistics (INE, 2012), and by which approximately 24.5-26.5% of Spanish citizens would have a low SES level, 45.5-52.5% would have a medium SES level, and 23-28% would have a high SES level. We decided to compute in indicator of SES because this measure of an individual’s or family’s economic and social position based on education, income, work status or occupation is considered a strong predictor of health-related factors, including health-related behaviours, risk factors and health outcomes (e.g., health problems, mortality, incapacity).
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Table 2: Socio-demographic data.
Variable % Age ranges 18-28 47.8
29-48 21.7 49-68 30.5
Marital status
No current relationship, of which Single Separated/Divorced Widow
30.2 20.9 6.7 2.7
Short-term relationship (< 1 year) 7.3 Long-term relationship (> 1 year) 62.4
Socioeconomic status Low 25.3 Medium 48.4 High 26.2
Educational level (highest completed level)
No formal education 1.1 Primary school 11.1 Secondary school and other formal education
11.1
Vocational training 9.3 University-Grade 63.6 University-Postgrade 3.8
Occupational status Housework 8.2 Unemployed 8.7 Student 46.9 Retired 2.9 Employed 33.3
Monthly family income < 1000 euros 21.1 1000-2000 euros 43.8 2000-3000 euros 24.9 >3000 euros 10.2
Relative with HT Yes, currently 46.2 Yes, in the past 11.8 No 42
Relative patient kinship (more frequently reported)
Mother 20.6 Father 20.5 Grandfather/Grandmother 19.1 Brother/Sister 5.4 Uncle/Aunt 2.6 Intimate partner/Spouse 1.8
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Table 2: (Continued).
Physical or mental disease at the time of the study
No 77.1
Yes, of which 22.9 Type of illness (Remaining illnesses were indicated by less than 1%)
Hypothyroidism, hyperthyroidism 4.5 Cardiovascular diseases, including hypercholesterolemia, hypertriglyceridemia, myocardial infarction, valves disease, arrhythmia...
4
Osteoporosis, arthritis, bone problems... 3.1 Pain, chronic pain, headaches... 2 Digestive system diseases, including irritable bowel syndrome, ulcerative colitis, gastroesophageal reflux disease, hiatal hernia...
2
Depression 1.7 Anxiety 1.5 Respiratory problems, including asthma... 1.2 Gynaecological problems, including ovarian cysts, endometriosis, miomas...
1
Dermatologic diseases, including atopic dermatitis, eczema, psoriasis, acne...
1
Under any kind of therapy
No 75.6 Yes, of which 24.4
Type of therapy (more frequently reported)
Oral contraceptives 5 Drugs for thyroid problems 3.8 Anxiolytics 2.2 Vitamins (A, B group) and minerals (calcium, iron, iodine)
2
Antidepressants 1.6 Drugs for hypercholesterolemia 1.4 Drugs for asthma 1 Psychotherapy 1 Corticoids 0.8 Analgesics 0.4 Non-steroidal anti-inflammatory drugs 0.4 Anticoagulants 0.4 Drugs for cardiovascular diseases 0.4 Drugs for osteoarthritis 0.4
Measures
Illness perceptions:
Participants completed a Spanish modified version of the Revised Illness
Perception Questionnaire (IPQ-R) by Moss-Morris et al. (2002) which was adapted to
assess illness perceptions on HT among healthy people (Del Castillo, Godoy-Izquierdo,
Vázquez & Godoy, 2013) (N= 162, 36% of the total sample) or a brief version derived
from the above-mentioned tool which was obtained based on psychometric and content
analyses (Godoy-Izquierdo et al., in preparation) (N= 288, 64%) in order to report their
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cognitive and emotional representations on HT. For equality purposes, only the items
included in the brief IPQ-R (i.e., completed by all the respondents) were used in the
analyses in the present research.
Both the IPQ-R and the brief IPQ-R evaluate nine dimensions from Leventhal and
colleagues’ SRM model and research findings: Identity (symptoms associated with the
illness and label); Timeline (duration and chronicity); Evolution (course and temporal
changeability or fluctuation of the illness and symptoms); Consequences (effects of the
illness on an individual’s lifestyle, health and well-being); (Lack of) Personal Control
(personal influence on preventing and managing the disease); (Lack of) Treatment
Control (availability and efficacy of treatments to manage or cure the disease and its
symptoms); (Lack of) Illness Coherence (perceived personal understanding of the
disease); Emotional Representations (emotional impact of the disease); and Aetiology
or Causes (e.g., psychological, behavioural, biological, chance and external causes of
the disease). For the aims of the present research, two items assessed each of the
SRM dimensions and a total of 21 possible symptoms of HT (some of them not
corresponding to high BP manifestations to identify possible tendency of response) and
19 possible causes of the disease were included, which were grouped in psychological,
behavioural and external/uncontrollable causes.
For all of the dimensions except identity, the respondent must express his(her)
level of agreement with a series of statements (e.g., “This illness has major
consequences on patient's life”) or causal attributions (e.g., One's own behaviour") on a
Likert-type scale with five alternatives (from 1= “Strongly disagree” to 5= “Strongly
agree”). In the causes dimension, a statement of "I don't know/I'm indecisive" was
included. A blank question was also used for asking the participants to freely indicate
the three more relevant causes of HT for them (info not used in this research). Partial
scores were obtained as the mean of the scores for the items on each subscale
(considering direct and reverse items), with higher scores indicating stronger beliefs
about chronicity, cyclical course, impact and outcomes, causal factors' influence and
emotional reactions to the disease, as well as poorer perceptions of personal influence
and cure possibilities and perceived understanding of the disease. For the aims of
calculating a global score, items belonging to the dimensions of personal control,
treatment control and coherence were all reversed (e.g., Figueiras et al., 2010). For the
identity dimension, answers to whether each in a series of symptoms was perceived as
characteristic of the disease or not were examined. The higher the score, the more
symptomatic the disease is perceived to be.
A global score in the brief IPQ-R was calculated by summing the answers to all
items excepting those from causes subscale, with higher scores reflecting stronger
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illness representations of the disease as a severe, symptomatic, uncontrollable,
durable and unstable disease as well as un-understandable disease, with higher
impact on the patient's health and life and higher power to generate emotional
reactions.
Following previous suggestions (Moss-Morris et al., 2002; Weinman, Petrie, Moss-
Morris & Horne,1996), we modified the IPQ-R to make it more complete, easier and
better fitted to HT (see Del Castillo et al., 2013, for details). Furthermore, each
reference to “my” illness was substituted by “the” illness or “hypertension”. The brief
IPQ-R used herein also included the following changes on the original, large IPQ-R.
For the identity subscale, six new symptoms were added: heat, perspiration; flushing of
face and neck; seeing problems; bleedings; confusion, disorientation; and ringing in the
ears. The remaining dimensions except causes were summarized in two items per
subscale, those considered as more representative of each dimension based on both
content and psychometric analytical procedures (Godoy-Izquierdo et al., in
preparation). Causes subscale was similar in both tools.
The psychometric properties of the IPQ-R have been previously demonstrated
among English-speaking and Spanish populations (Del Castillo, Godoy-Izquierdo,
Vázquez & Godoy, 2011; Moss-Morris et al., 2002), as well as in the context of HT with
Spanish populations (Beléndez, Bermejo & García-Ayala, 2005; Del Castillo et al.,
2013; Pacheco-Huergo et al., 2012).
We decided to use our own brief IPQ-R instead of the Brief IPQ proposed by
Broadbent, Petrie, Main and Weinman (2006) because of some psychometric
limitations of the latter that have been pointed out. Concurrent validity with the IPQ-R
regarding personal control and treatment control dimensions (Broabdent et al., 2006;
De Raaij, Schröder, Maissan, Pool & Wittink, 2012; French, Van Oort & Schröder,
2011) and convergent validity between the Brief IPQ and other measures (Bazzazian &
Besharat, 2010; Lochting, Garrat, Storheim, Werner & Grotle, 2013) have been
questioned. Moreover, there is no evidence of discriminant validity of the instrument
(French et al., 2011) and it may lack of content validity (French et al., 2011; Van Oort,
Schröder & French, 2011).
Participants also completed other self-reports that were specifically constructed for
this study with the aim of exploring their perceptions about HT as a health risk factor as
well as possible risks derived from HT, perceived preventive behaviours for avoiding or
reducing the risk of suffering from HT and their practiced preventive behaviours for
avoiding or reducing the risk of suffering from HT.
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Perceptions of HT as a risk factor:
Participants had to state whether they considered that untreated HT might be a
risk factor for other diseases (0= No, 1= Yes, for non-severe diseases; 2= Yes, for
booth non-severe and severe diseases). Then, a list with nineteen diseases or health
problems, which could be related or not to HT, was presented to participants and they
had to say whether those problems were related to HT or not (Yes/No). A blank
question was added for the participants to indicate any other disease/s not mentioned
in the list (not included in the analyses because nobody indicated an illness previously
not mentioned). The information presented in this section was obtained from several
medical bibliographic sources.
Perceptions of preventive behaviours and practice of preventive behaviours:
With the aim of assessing participants' perceptions about preventive behaviours
and their preventive actions in their daily life (with the specific aim of preventing HT),
two lists composed of the same fifteen behaviours were presented. In the Perceived
Preventive Behaviours Scale, participants must express his or her level of agreement
on a Likert-type scale with eleven alternatives (0= “nothing at all”, from 1= "very little" to
10= “very much”) depending on their perception about the preventive character of each
behaviour (i.e., perceived efficacy of the action for preventing HT). In the Practiced
Preventive Behaviours Scale, they had to indicate their performance of each behaviour
in their daily life on a Likert-type scale with eleven alternatives (0= “no practice”, from
1= "very little" to 10= “very much”). As in the HT as a Risk Factor section, information
for these sections was obtained from several medical bibliographic sources.
Sociodemographic data:
Participants also indicated their age, gender, nationality, marital status, education
level, work status and income level. They also reported current diseases and therapies
undergone (of any nature), and whether they had ever suffered from HT. Participants
were also asked to indicate whether any relative with whom they had ever lived was
ever diagnosed with HT or was affected by HT at the moment of the study and their
kinship, as well as whether (s)he was under any kind of treatment and his(her)
adherence to prescriptions.
Procedure
The research was approved by the institutional research ethics committee. Participants
were asked to take part voluntarily and to sign an informed consent form. They had
been informed previously that the general objective of the research was to learn their
beliefs about HT and not to gauge their level of knowledge. Specific instructions for
completing the questionnaires were given.
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A community-based convenience sample was constructed (i.e., people suffering or
having suffered from HT were discarded). Three housing buildings and several
community settings per district were selected at random with a local telephone
directory. A person in one of every three possible households and one of every three
people in the public settings were asked to participate and followed the above-
mentioned procedure when they accepted.
Study design and statistical analyses
This is a cross-sectional, correlational study based on self-report data.
All the variables were re-coded, so high scores meant high levels of the respective
feature (including all the brief IPQ-R dimensions). The scores were then transformed to
Z scores. Standardised scores were used for metric variables to eliminate scaling
differences among variables. Preliminary and exploratory analyses were conducted to
check the data and parametric assumptions. Most of the variables were not normally
distributed (Kolmogorov–Smirnov test, p< 0.05); however, Levene’s tests confirmed
homoscedasticity for the vast majority of the variables (p> 0.05). Thus, besides
descriptive analyses, parametric tests were performed (with correction for non-
homoscedasticity when appropriate). The analyses were conducted with version 19 of
SPSS statistical package (IMB, 2010) and level of significance was set at p< 0.05.
To establish different multidimensional profiles according to the scores on the
variables of the study, we performed multivariate non-hierarchical, iterative partitioning
k-means cluster analyses with Euclidean distance as similarity measure (Clatworthy,
Buick, Hankins, Weinman, & Horne, 2005; Jain, Murty, & Flynn, 1999). This analysis
was utilised to maximise both the separation among clusters (low between-group
homogeneity) and the homogeneity within clusters (high within-group homogeneity).
Moreover, k-means cluster analysis has proven to be the most appropriate method in
illness perceptions research designed to test the utility of the SRM in explaining health-
related behaviours and outcomes (Clatworthy et al., 2007). The upper limit for iterations
was set at 30 (Lowe et al., 2011). We followed criteria published by Clatworthy et al.
(2005) for the use and reporting cluster analyses in Health Psychology. To decide the
optimal number of clusters, we calculated the pseudo F (PSF) or variance ratio criterion
(Calinski & Harabasz, 1974), as it has proven to be the most efficient statistic for
determining the goodness of the clustering solution (Milligan & Cooper, 1985). The
number of clusters corresponding with the highest PSF value is the optimal solution.
We also considered Goodman and Kruskal’s λ value (the closer to 0, the better the
variables are working for clustering) and percentage of cases correctly classified (the
higher the percentage, the better the solution). Furthermore, we took into account the
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suggestion by Clatworthy et al. (2007) of considering three groups as this number
appeared relatively typical of the number of groups found both in illness perception
research and Health Psychology research in general. In addition, a discriminant
analysis was performed with all the variables introduced in cluster analyses in order to
identify the best subset of variables for each cluster, that is, to corroborate the
appropriateness of the groups and to establish the responsible variables for this
grouping.
Then, once the clusters had been established, we performed univariate one-way
analyses of variance (ANOVA) and multiple pairwise comparisons to explore significant
differences among the multidimensional profiles and in relation to preventive
behaviours practice. This behavioural indicator was used not only as criterion variable
to cross-validate the cluster solution that was found (i.e., external validation; Clatworthy
et al., 2005), but also as an outcome variable to explore expected different outcomes
derived from different psychosocial configurations. Analyses of covariance (ANCOVA)
were run to partial out the effect of sociodemographic conditions on behavioural
indicators when cluster membership was considered.
Because cluster analytic techniques are particularly sensitive to outliers, univariate
and multivariate outliers were checked before the analytic techniques. For univariate
outliers, no Z score with an absolute value greater than 3 that could be considered as
potential outlier was identified. For multivariate outliers, a case was considered an
outlier if the probability associated with D2 in the Mahalanobis’ distance test was 0.001
or less. Fourteen cases had combinations of values for the variables that were
considered as potential outliers. An inspection of data revealed that they were unusual
but possible cases, and those participants were retained for the analyses. Because
outliers can be derived from a non-normal distribution of data, we also screened those
values with boxplots and descriptive data. Based simultaneously on the univariate and
multivariate tests, we did not exclude any participant from the analyses.
Further, multicollinearity may profoundly affect cluster analyses, with variables
which are highly intercorrelated being over-represented in the outcomes. Moreover, as
the degree of multicollinearity increases, the estimation of the coefficients become
unstable and the standard errors can get inflated. We found no multicollinearity among
the psychosocial and sociodemographic variables of this study, with variance inflation
factor (VIF) being lower than 10 and the tolerance being greater than 0.1 for all
variables. The condition index, which is considered to be the most robust test of
multicollinearity, was very low for all variables. Consequently, no multicollinearity was
detected and none of the variables were excluded from or combined for the cluster
analysis.
275
Results
Table 3 shows descriptive findings for the psychosocial variables of the study.
Table 3: Descriptive findings.
M SD MIN MAX HT as a risk factor 2.94 0.28 1 3 Number of health problems linked to HT 8.39 3.50 0 19 Perceived preventive behaviours 7.72 1.27 2.73 10 Practiced preventive behaviours 5.26 2.45 0 10 IPQ-R Identity 12.03 3.75 0 21 IPQ-R Duration 3.16 0.84 1 5 IPQ-R Evolution 3.12 0.95 1 5 IPQ-R Consequences 3.15 0.83 1 5 IPQ-R (Lack of) Personal control 1.73 0.74 1 5 IPQ-R (Lack of) Treatment control 1.96 0.69 1 5 IPQ-R (Lack of) Coherence 2.66 1.01 1 5 IPQ-R Emotional Representations 2.14 1.05 1 5 IPQ-R Causes, of which: 3.31 0.52 1.53 4.53 Behavioural Psychosocial Uncontrollable
4.03 3.56 2.68
0.60 0.86 0.53
1 1
1.38
5 5
4.13
HT is perceived as moderately symptomatic, with 3.6% of participants indicating
less than 5 symptoms linked to HT, 22.4% indicating less than 10 symptoms, and the
remaining 77.6% indicating 10 or more symptoms, with 26% of the total sample
indicating 15 symptoms or more. More frequently indicated symptoms were
tachycardia, headaches, fatigue/tiredness, heat/perspiration, dizziness/vertigo,
emotional distress such as sadness or anxiety, vision problems and face/neck flushing
(≥ 70% of participants). HT is also perceived as a moderately long lasting and cyclical
disease, with negative consequences for patients. It is also considered by participants
as highly controllable by patients’ actions and behaviours and they also showed high
confidence in available treatments and interventions to control the disease. Participants
reported a perceived moderate-to-good comprehensibility of HT. On the other hand,
they didn’t show strong feelings of sad, anxiety or worry linked to the possibility of
suffering from the disease. Participants linked HT mainly to behavioural and lifestyle
causes, but other psychosocial factors such as stress and tension were also frequently
reported. Uncontrollable causes were also indicated, but considerably less frequently.
276
Further, almost all of the participants considered HT as a risk factor for suffering
from both non-severe and severe health problems, and, in a series of 19 possible
health threats, participants reported risk for suffering from 8 problems, in average,
among which cardiovascular diseases stood out (renal and visual problems were
indicated only by 4 in 10 participants). Besides, they perceived that individuals can
control the risk of suffering from HT itself by their behaviour, and their perception of the
efficacy of behavioural preventive options was elevate (close to 8 in a ten-point scale,
in average; no participant reported not perceiving any of the behaviours listed as a
successful preventive option). Furthermore, they reported to practice a low number of
preventive behaviours in order to prevent HT (5 preventive behaviours in average; 38%
indicated practicing less than 5 behaviours, and 4.2% of the participants reported not
practicing any of the behaviours listed with a preventive goal).
A k-means cluster analysis was conducted and, given the range of clusters
reported in the Health Psychology and illness perceptions literature, two-cluster, three-
cluster and four-cluster solutions were explored. The psychosocial variables
considered in the analysis were illness representations of HT as measured by the brief
IPQ-R, perceptions of HT as a risk factor for future health problems, number of health
problems linked to HT as an indicator of the perceived seriousness of HT as a risk
factor and perceived preventive options. After running the analyses, we chose the
three-cluster solution because it was the solution with a greater percentage of
participants in each cluster grouped correctly, it offered the biggest amount of
information with the fewest number of clusters (i.e., had higher parsimony), it did not
group a low number of atypical cases in a cluster (i.e., had higher replicability) and it
had an easier and more meaningful interpretation. Missing data for each variable was
very low (three cases -0.7% of cases- for brief IPQ-R dimension of perceived causes;
hence, three participants were removed from the analysis). An initial ANOVA revealed
significant differences among the clusters for all the included variables except brief
IPQ-R dimension of duration (p> 0.10). Thus, we reran the cluster analysis with the
significant variables, i.e., excluding only duration dimension of brief IPQ-R.
Consequently, three groups were identified, solution supported by PSF value, λ
value and percentage of cases correctly clustered, all of which reached optimum
values for a three-cluster solution. Each cluster was characterised by different
psychosocial profiles (Figure 1). Based on these profiles, reflective of different levels of
awareness of HT seriousness and control options, we labelled these groups as low-to-
moderate awareness and concern, very low awareness and concern and high
awareness and concern, respectively. Cluster 1 (48.8%) is composed of participants
with low awareness of HT seriousness and linked risks as well as low value conceded
277
to preventive options. Their perceptions related to HT form a profile with lower
(standardised) levels of symptoms reported as being associated to HT (-0.5 SD), lower
levels of negative consequences linked to the disease (-0.5 SD), average stability and
perceived controllability and average-to-low perceived emotional impact and
comprehensibility of HT. Causes are not clear for these participants, as they indicated
behavioural, psychosocial and external-uncontrollable causes in levels -0.5 SD below
the mean.
Figure 1. Graphical representation (final centroids) of the psychosocial profiles identified by the
cluster analysis. Cluster 1 is composed of participants with low awareness of HT seriousness
and linked risks as well as preventive options, so that they demonstrated to be poorly
concerned about HT; Cluster 2 is composed of participants with even lower awareness of HT
seriousness and linked risks as well as preventive options, with the most unrealistically positive
picture of the disease; Cluster 3 is composed mainly of participants with high awareness of HT
seriousness and linked risks as well as preventive options, so that they demonstrated to be
highly concerned about HT.
Cluster 2 (5.4%) is composed of participants with, comparatively, lower awareness
of HT seriousness and linked risks as well as of preventive options, so that they
-4,50
-4,00
-3,50
-3,00
-2,50
-2,00
-1,50
-1,00
-0,50
0,00
0,50
1,00
1,50
C1= Low awa & conc (N= 218)
C2= Very low awa & conc (N= 24)
C3= High awa & conc (N= 205)
278
demonstrated to be poorly concerned about suffering from HT and derived
consequences. They also self-reported to be poorly knowledgeable about HT (lack of
coherence dimension, 0.5 SD above the mean) and they demonstrated generally the
most unrealistically positive perceptions on the brief IPQ-R dimensions (i.e., lower
levels of identity, stable, non-cyclical timeline, consequences and emotional impact, all
rounding -0.5 SD below the mean). They also referred more uncontrollable causes for
HT than behavioural or psychosocial causes. Notably, these cluster reported the lowest
perceptions on personal and treatment controllability (0.5 to 1 SD above the mean).
Compared to cluster 1, even when their perceptions on HT as illness were very similar,
they demonstrated dramatically lower perceived health risks as a consequence of
suffering from HT, as well as notably lower perceived personal and treatment control
and higher perceptions on causality for psychosocial and uncontrollable etiological
factors. Compared to cluster 1, they also had lower perceived comprehensibility on the
disease. These participants had the lowest experience with the disease.
Cluster 3 (45.9%) is composed of participants with high awareness of HT
seriousness and linked risks as well as higher value conceded to preventive options.
They had the more realistic and adjusted to biomedical knowledge illness perceptions
on HT, even when they weren't particularly confident in their global picture of HT. They
perceived more symptoms linked to HT, more negative outcomes of HT for health and
higher emotional impact, but also higher stability and more options for preventing HT
from one's own behaviour and for controlling the disease, self-reporting the highest
perceived personal control on the disease and treatment control (lowest brief IPQ-R
scores on lack of personal and treatment control dimensions). They also indicated
more frequently behavioural and psychosocial controllable causes, although they also
indicated uncontrollable causes. Thus, they demonstrated to be highly concerned
about suffering from HT and derived consequences. Compared to participants of
cluster 2, participants in clusters 1 & 3 had higher family experience with the disease.
A discriminant analysis showed Wilks’ lambda values of 0.043 and 0.377 (χ2=
1379.819, χ2= 426.215, p= 0.000) for the global model, indicating significant between-
group differences and demonstrating a high discriminant power with a low proportion of
the total variance in the discriminant scores not explained by differences among
groups. Both discriminant functions explained on average 76% (89% and 62%) of the
variability among groups (Pillai's Ƞ2= 0.76). Using this clustering, 97.1% of the cases
were correctly classified.
Clusters were then compared on the set of psychosocial measures using one-way
ANOVAs and pairwise comparisons. The ANOVAs revealed significant differences for
all variables among the clusters (Table 4). Bonferroni’s or Games-Howell’s pairwise
279
comparisons were conducted upon Levene’s F values. There were significant
differences (p< 0.01) between clusters of low awareness and concern and very low
awareness and concern for family experience with HT, perception of HT as a risk factor
and number of problems derived from suffering from HT, perceived personal control,
coherence and uncontrollable causes attributed, and marginally significant for
psychosocial causes attributed (p= 0.06), and they were very similar in perceived
preventive behaviours and almost all illness perceptions: identity, evolution,
consequences, treatment control, emotional representations and behavioural causes
(p> 0.05). Significant differences (p< 0.01) were found between clusters of low
awareness and concern and high awareness and concern on all the variables with the
exception of perceived risk linked to HT and the brief IPQ-R dimensions of treatment
control and coherence (p> 0.05). Further, significant differences were found between
clusters of very low and high awareness and concern for all variables (p< 0.01), except
psychosocial and uncontrollable causes; for family experience with HT and the brief
IPQ-R dimensions of evolution and treatment control, p< 0.10.
Besides, given that previous analyses indicated that age, gender and SES were
significant predictors of the variables of the present study, possible differences in
sociodemographic conditions due to cluster membership were analyzed. Clusters
differed in terms of age (F= 24.522, p= 0.000), with participants in C3 being
significantly younger than those in C1 (p= 0.000) and marginally younger than those in
C2 (p= 0.071). There were also differences in terms of gender. All the clusters were
composed of more women than men, according to the sample composition, but, across
clusters, there were proportionally more men in C1, while women were equally frequent
in C1 and C3 (χ2= 6.445, p= 0.04). Clusters also differed in SES level of participants.
Participants with lower SES were more likely to be in C1, participants with moderate
SES were more likely in C3, whereas participants with higher SES where equally
distributed in C1 and C3 (χ2= 24.818, p= 0.000).
280
Table 4: Means (centroids), standard deviations and comparisons among the
clusters for the clustering variables (Z scores) (N= 447).
Variables
LOW (C1)
N= 218
VERY LOW (C2)
N= 24
HIGH (C3)
N= 205 F p
M SD M SD M SD
Family experience 0.18 0.97 -0.58 0.89 -0.14 1.00 10.224 0.000**
HT as a risk factor 0.23 0.00 -3.94 1.36 0.21 0.25 1579.179 0.000**
Number of health
problems linked to HT -0.49 0.65 -1.04 0.96 0.64 0.91 126.340 0.000**
Perceived preventive
behaviours -0.45 0.94 -0.47 1.21 0.53 0.72 70.631 0.000**
IPQ-R Identity -0.40 0.86 -0.43 1.26 0.48 0.89 53.131 0.000**
IPQ-R Evolution 0.11 1.05 0.31 0.96 -0.16 0.93 5.158 0.006**
IPQ-R Consequences -0.39 0.86 -0.64 1.06 0.49 0.91 57.369 0.000**
IPQ-R Personal control 0.24 1.03 1.04 1.14 -0.38 0.75 40.141 0.000**
IPQ-R Treatment control 0.05 0.98 0.36 1.22 -0.09 0.99 2.658 0.071
IPQ-R Coherence -0.13 0.95 0.62 1.07 0.06 1.02 7.007 0.001**
IPQ-R Emotional
Representations -0.15 0.93 -0.43 0.88 0.20 1.04 9.353 0.000**
IPQ-R Causes_Behavioural -0.48 0.98 -0.21 1.29 0.54 0.66 73.371 0.000**
IPQ-R Causes_Psychosocial -0.41 0.96 0.10 0.99 0.42 0.86 43.299 0.000**
IPQ-R Causes_Uncontrollable -0.44 0.91 0.33 0.75 0.43 0.92 51.378 0.000**
Note: LOW: Low awareness and concern; VERY LOW: Very low awareness and concern;
HIGH: High awareness and concern. Standard Z scores were used for metric variables. Ordinal
variables (family experience, perception of HT as a risk factor) were treated as metric variables.
** p< 0.01.
Further, ANOVAs were performed to explore differences among the participants in
each cluster with respect to practiced preventive behaviours. Significant differences
were found (Table 5). Post-hoc comparisons revealed that participants in clusters of
low and very low awareness and concern practiced significantly less preventive
behaviours than participants in cluster of high awareness and concern (p< 0.01).
Differences between low and very low aware, concerned participants were also
significant (p< 0.05), with very low aware people practicing the lowest level of
preventive behaviours. Figure 2 displays these differences. Participants in the high
281
awareness subgroup demonstrated a relative investment in preventive efforts, with
levels that were 1/3 standard deviation above the average; participants in the low
awareness subgroup demonstrated a poor investment in preventive efforts, with levels
that were 1/4 standard deviation below the average, whereas participants in the very
low awareness subgroup demonstrated a dramatically lower investment in preventive
efforts, with levels that were close to one standard deviation below the average.
Table 5: Means, standard deviations and comparisons among the clusters for
preventive behaviours practice (Z scores) (N= 447).
Variables
LOW (C1)
N= 218
VERY LOW (C2)
N= 24
HIGH (C3)
N= 205 F P
M SD M SD M SD
Preventive behaviours -0.22 0.99 -0.79 1.06 0.32 0.89 26.291 0.000** Note: LOW: Low awareness and concern; VERY LOW: Very low awareness and concern;
HIGH: High awareness and concern. Standard Z scores were used. ** p< 0.01.
Figure 2. Graphical representation of preventive actions (Z scores) of each of the profiles
identified in the cluster analysis. Cluster 1 (low awareness) and Cluster 2 (very low awareness)
are characterized by a lower level of preventive effort; Cluster 3 (high awareness) is composed
of people with higher level of preventive effort.
-1
-0,5
0
0,5
C1= Low awa & conc (N= 218)
C2= Very low awa & conc (N= 24)
C3= High awa & conc (N= 205)
282
Sociodemographic variables are potential confounding variables in the previous
analysis. Thus, to control for their effect, an ANCOVA was conducted to test whether
age, gender or SES level were influencing preventive behaviours by clustering
membership (in addition to ANOVAs assumptions, assumption of homogeneity of
regression slopes was not violated, F= 1.627, p= 0.182). The covariate age was not
significantly related to the outcome preventive behaviours (F= 1.876, p= 0.172), as was
not SES level either (F= 1.573, p= 0.210). In contrast, gender was significantly related
to preventive behaviours (F= 20.112, p= 0.000). After controlling for these effects,
cluster membership demonstrated a significant effect on preventive behaviours (F=
18.192, p= 0.000). Bonferroni's post hoc pairwaise comparisons revealed that being
clustered in C2 was associated to a significant decrease in the practice of preventive
practices compared to being clustered in C1, p= 0.035, 95% CI [-0.984, -0.026] and
C3, p= 0.000, 95% CI [-1.442, -0.474], and that being clustered in C3 was associated
to a significant increase in the practice of preventive practices compared to C1, p=
0.000, 95% CI [0.226, 0.680].
Discussion
Although the SRM has been applied to different physical and mental illnesses, there
are relatively few studies regarding the non-specialised beliefs that healthy people hold
and how their beliefs influence health- and disease-related behaviours (e.g.,
Anagnostopoulos & Spanea, 2005; Cabassa, 2007; Del Castillo et al., 2011; Dempster
et al., 2011a,b; Figueiras & Weinman, 2003; Fortune, Smith & Garvey, 2005;
Karademas, Zarogiannos & Karamvakalis, 2010; Kaptein et al., 2007; Lobban,
Barrowclough & Jones, 2005; Searle, Norman, Thompson & Vedhara, 2007). This is
particularly true for the Spanish population. Furthermore, research specific to HT is
scarce, although this disease is one of the leading causes of morbidity worldwide and
one of the main risk factors for serious pathologies such as heart attack, stroke or
chronic renal failure. We have described in deep the cognitive and emotional
representations that participants endorsed on HT elsewhere2 and discussed how they
parallel other findings (e.g., Bazán, Osorio, Miranda, Alcántara & Uribe, 2013; Beléndez
et al., 2005; Chen, Tsai & Chou, 2011; Chen, Tsai & Lee, 2009; Del Castillo et al.,
2013; Godoy-Izquierdo et al., 2007; Figueiras et al., 2010; Heckler et al., 2008; Hsiao
et al., 2012; Meyer, Leventhal & Guttman, 1985; Norfazilah et al., 2013; Pickett, Allen,
Franklin & Peter, 2014; Ross, Walker & McLeod, 2004; Schlomann & Schmitke, 2007;
Wilson et al., 2002), as well as the associations between HT perceptions, perceptions
2 Ver Estudio 4 de esta Tesis Doctoral.
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of HT as a risk factor itself and perceived and practiced preventive behaviours. Healthy
people, risk populations, patients, relatives and carers of patients as well as health
professionals are in need of tailored interventions focussed on their illness
representations. Thus, careful, individually focused revision and discussion of illness
beliefs should modify misconceptions and biased, inappropriate and unrealistic
expectations on the disease for a more successful health-related repertory of actions.
Some recent research on illness representations have moved away from looking at
the predictive value of separate illness beliefs towards considering the overall pattern
or schema of illness perceptions held by the individuals (French et al., 2006), which is
closer to the original conception of Leventhal et al. (1984). Thus, the prediction of
outcomes might be more effective if clusters or combinations of illness perceptions are
used as predictors, instead of single illness perception constructs. As we argued in the
introduction, exploring the whole profile of representations about a certain illness
instead of different dimensions separately or individually is receiving increasing interest
nowadays because of the important advantages of this research approximation in the
field of illness representations. These advantages are related basically to the
possibilities of interpretation of findings and also to their predictive value in important
behavioural or emotional outcomes for health and illness. Further, identification of
groups of individuals sharing common illness schemata also help to identify individuals
that might benefit from targeted interventions or further research (Clatworthy et al.,
2005).
Accordingly, the present study was conducted with a three-fold aim. Firstly, we
sought to identify groups of people non-suffering from HT that share a similar profile
regarding illness schemata on this disease and other important related variables such
as risks perceptions and preventive options linked to HT, using the Self-Regulation
Model as a theoretical framework. Thus, multidimensional psychosocial profiles were
considered (e.g., Charlier et al., 2012; Snell et al., 2015). Our second aim was to
explore the influence of different sociodemographic variables such as age, gender,
SES level and family experience with HT in the configuration of the illness schemata
about HT. Thirdly, we aimed to address the relationship between different profiles of
illness representations on HT and an important behavioural outcome: the practice of
preventive actions in their daily life as a way to avoid HT among non-patients from the
general population. According to Clathworthy (2007), knowing this information give us
important keys to classify the general population regarding their beliefs about HT with
the final aim to design and implement preventive strategies tailored to specific groups
with specific necessities and problems.
284
To achieve these aims, multivariate K-means clustering was used to form the
psychosocial profiles, followed by an examination of illness beliefs about HT across
clusters using analysis of variance approaches and multiple pairwise comparisons in
order to explore significant divergences among the multidimensional profiles and in
relation to preventive behaviours practice. The psychosocial variables considered in
the multidimensional illness-related profiles were illness representations of HT as
measured by the brief IPQ-R, perceptions of HT as a risk factor for future health
problems, number of health problems linked to HT as a perception of the perceived
seriousness of HT as a risk factor and perceived preventive options. The outcome
variable was the practice of preventive behaviours with the aim of reducing the risk of
suffering from HT in the future. In summary, we identified three different trajectories of
illness representations. Two of the clusters included people who were not aware and
concerned about the risks linked to HT and who had inaccurate beliefs about the
illness, although one of them is more negative than the other one; consequently, but
more markedly the latter, their behaviour was far from a preventive aim. The third one
was composed of individuals who were aware of what is HT and how to prevent it, and
consequently displayed a wide range of behavioural coping efforts to diminish the risk
of suffering from HT in their life.
Concretely, two of the identified profiles, clusters 1 and 3, mirrored each other in
their illness representations, with rather inverse illness representations. Cluster 1
involved nearly a half of the sample (48.8%) and was composed of participants with
low awareness of HT seriousness and linked risks as well as lower rate of preventive
options. In fact, many of their scores (7 out of 13) were rounding 0.5 SD below the
mean. People in this cluster perceived HT as related to a lower number of symptoms
and fewer serious consequences for patients. They also had average (moderate)
confidence in the possibilities of control and cure of HT by the patients and the
available treatments. Their understanding of the disease was from moderate to low, as
well as their emotional representations, so compared to participants in cluster 3 they
didn’t have a complete clear picture of HT and they experienced not very disturbing
feelings of worry, anxiety and sadness because of the possibility of suffering from HT.
Finally, regarding HT causality, participants included in this cluster didn’t hold clear
ideas about factors that could generate HT and they indicated behavioural,
psychosocial and external-uncontrollable causes at a lower rate. Participants clustered
in this trajectory perceived HT as a risk factor for other important health problems, but
they were unable to recognise the numerous health problems that HT can provoke.
The perception of the potential efficacy of different behaviours in order to prevent HT is
285
lower than average in this cluster, very similar to cluster 2 participants' perception.
Consequently, their behavioural investment in preventing HT is low.
Cluster 3 involved 45.9% of the participants, those who had the global
representation about HT being the most accurate and adjusted to biomedical
knowledge. Many of their scores (7 out of 13) were rounding +0.5 SD above the mean,
with more realistic perceptions on the disease and control opportunities and an
adjusted global picture of HT. These normotensive people perceived that HT as linked
with a higher number of symptoms and more negative consequences for patients’ life.
Their perceptions on coherence and treatment control were average and did not differ
too much from those of participants in cluster 1, but comparatively they demonstrated
the highest perceptions of personal controllability. They also perceived the disease
course as more stable and predictable. Although they perceived HT as an important
health risk and thought that HT lead to many other important health problems, they had
an optimistic perception about one's own role for preventing this disease and the
possibilities of avoiding HT introducing changes in lifestyle. In connexion to that, they
also stated more behavioural and psychosocial causes under the control of individuals,
although they also considered that other uncontrollable causes are important in the
genesis of this silent killer. When compared to participants in the other clusters, they
exhibited the highest negative feelings of worry or sadness when they thought about
the possibility of suffering from HT. Significant differences were found between this
cluster and the remaining two for almost all of the variables included (notoriously
excepting treatment control perceptions). As a consequence of their global perceptions,
their behavioural investment in preventing HT is the highest.
Finally, cluster 2 is the smallest in size, with only a 5.4% of the sample. This
cluster point out that a low but no negligible proportion of the community is spaced out
about HT, its risk factors and risky outcomes, and are consequently in greater risk of
severe morbidity and premature death, because their behavioural repertory is
completely disconnected from a healthy lifestyle. In general, these participants had
very inaccurate beliefs about HT that were far of objective medical knowledge.
Comparatively, they reported a clear lack of understanding of the disease and certain
confusion about the characteristics of HT. They were more likely to believe that HT is a
unpredictable disease with a cyclical course with fewer symptoms and lower perceived
impact on patients' health or life. Regarding their emotional reactions to the disease,
these were the lowest among the three clusters, in line with the above-mentioned
(excessively) optimistic perceptions on the disease. Compared to clusters 1 and 3, their
perceptions of controllability of the disease by the patient and the available treatments
were the lowest. Finally, in regard to the genesis of HT, they stated more uncontrollable
286
causes for the illness than behavioural or psychological aetiological factors. Many of
their scores (6 out of 13) were rounding 0.5 SD or more below the mean, with
excessively pessimistic perceptions of controllability and unrealistic global picture of the
disease (+0.5 SD to +1 SD). These unrealistic perceptions about HT are completed
with a very low awareness of risks associated to suffering from HT. They also
considered that the number and efficacy of preventive behavioural possibilities in HT
avoiding is low. Consequently, their behavioural investment in preventing HT is
dramatically lower.
Although clusters 1 and 2 could seem very similar, cluster 2 shows important and
worrying differences. Participants of that profile had a problematic lower perception of
the controllability of HT by the individuals and about health risks, and also a poorer
comprehension of what this disease means as well as a higher perception of the weight
of uncontrollable factors in the basis of HT. People clustered in this second profile are
living rather unconcerned about the dangerousness of HT, its negative effects and the
important problems that this disease could generate and they have a pessimistic
perception about the possibilities of HT prevention. This conjunction of perceptions
leads them to a lack of preventive cares or behaviours in their daily life and
consequently had a huge increase of risk of suffering from HT and its severe
consequences.
Taking participants of clusters 1 and 2 together, more than a half of the Spanish
normotensive sample (54.2%) had a low awareness and concern about HT and
specially about the possibilities of preventing this disease. This result is very worrying
as it shows that 1 in 2 individuals in the general population in Spain is quite far from
having an accurate and realistic view of the real dangers of this disease and especially
of how to prevent this silent killer. Consequently, their behaviour is also far from a
healthy lifestyle. These findings should alert health authorities to launch different
actions tailored to the healthy population in order to develop realistic perceptions of this
disease and to promote the adoption of preventive actions. The ultimate goal would be
to minimize the risk of HT conducting an adequate primary prevention through active
health policies and campaigns.
As we explained in the introduction, few studies have tried to identify different
profiles regarding illness models in HT and no one of these studies have been
conducted with normotensive population. As far as we know, only two studies
conducted with hypertensive patients have identified different profiles about the
representations that patients had about this disease. Figueiras et al. (2010) and Hsiao
et al. (2012), with samples of Portuguese and Taiwanese patients respectively, found
that their illness beliefs could be included in three different profiles (see Table 1) that
287
were similar in some aspects to those of our study but differed noticeably in others.
However, the authors did not labelled them based on beliefs' accuracy and proximity to
biomedical knowledge, but on the valence of the contents of the representations.
Clusters of "more negative", "moderately negative" and "more positive" illness
configurations in the study by Figueiras et al. (2010) correspond to C3 (highest
awareness and concern), C2 and C1 (lowest awareness and concern) in our study, but
they show a contrary pattern of beliefs regarding controllability and coherence. Clusters
of "more negative", "mixed" and "more positive" illness configurations in the study by
Hsiao et al. (2012) correspond to C3 (highest awareness and concern), C2 and C1
(lowest awareness and concern) in our study, but they show a contrary pattern of
beliefs regarding timeline-course and coherence. Furthermore, as in our case, they
also found that these profiles were related with different outcomes and behaviours
regarding HT care. In the first study, the authors found a relationship between illness
schemata of HT (more negative beliefs but higher perceptions of controllability) and the
beliefs about the necessity and concern about medication as well as the election of
brand or generic medicines. In the second one, the authors found that participants with
more positive illness perceptions but lowest sense of control had better drug
adherence, and patients with a mixed model demonstrated the worst adherence.
Regarding sociodemographic differences in cluster membership, there were
proportionally more men and individuals with lower SES (i.e., lower education level and
income) in C1, so it could be said that individuals with these conditions are likely to be
less aware about this health-threat and to have a more optimistic perception about the
disease and its impact, which could lead them to a less active role in HT prevention.
Moreover, participants in C3 were younger than in C1 and C2, and we also found
proportionally more women and people with moderate SES in C3, the cluster with the
highest awareness and concern and preventive actions. These findings are contrary to
main evidence (see Table 1), but support that sociodemographic conditions might have
an influence on how people perceive illnesses (Harrison et al., 2014; Kolhman et al.,
2012; Letelier et al., 2011). However, literature is inconclusive on this point. Our
findings are similar to those obtained by Harrison et al. (2014) and Kolhman et al.
(2012) in that more benevolent illness schemata are more likely among males and
older people.
Besides, we found that individuals in C2 (i.e., lowest awareness and concern as
well as preventive efforts) were characterised by lower family experience compared to
C1 and C3. However, family experience has been related previously to more
benevolent or optimistic illness schemata for cognitive impairment (Lin & Hiedrich,
2012). Based on our findings, it seems that having lived with HT at home leads to a
288
higher level of realistic perceptions on this disease and probably some level of fear
from having it, motivating people to avoid it and guiding behaviour; however, the
particular configurations of C1 and C3 point out that other variables besides family
experience with the disease are of relevance for the schemata on an illness and their
influences on behaviour. These findings help us in tailoring interventions to modify
illness perceptions based on what seems to be more likely given a particular
configuration of sociodemographic conditions.
We also explored the relationship between the different schemata about HT
identified and a behavioural outcome as is the practice of preventive actions. Other
research conducted with hypertensive patients found that being clustered in an specific
profile of HT perceptions was related with behavioural outcomes such as the election of
the type of medication (Figueiras et al., 2010) or adherence to drug treatment (Hsiao et
al., 2012). The influence of the illness schemata on different behaviour-related
outcomes has been also demonstrated for other illnesses: coping strategies in brain
injury patients (Medley et al., 2010) and mild cognitive impairment patients (Lin &
Hiedrich, 2012), intention to adhere to treatment in type 2 diabetes (Letelier et al.,
2011), physical activity levels in breast cancer (Charlier et al., 2012) and use of
primary, secondary or community care services in different chronic and non-chronic
disease (Lowe et al., 2011). We found that, when the effects of possible confounders
were controlled for, the effect of cluster membership on preventive behaviours was
significant. Participants in the high awareness and concern subgroup, i.e., those with
the most negative perceptions on HT but highest sense of controllability, demonstrated
a relative higher investment in preventive efforts, with levels that were 1/3 standard
deviation above the average; participants in the low awareness and concern subgroup
demonstrated a poor investment in preventive efforts, with levels that were 1/4
standard deviation below the average, whereas participants in the very low awareness
and concern subgroup, i.e., those with the most benevolent perceptions on HT but
lowest sense of controllability, demonstrated dramatically lower investment in
preventive efforts, with levels that were close to one standard deviation below the
average. These results manifest, as we expected, that normotensive people in clusters
C1 and C2 are less motivated to introducing changes in their lifestyle in comparison
with participants of C3, with more accurate and realistic (i.e., more negative)
representation of this disease and the important consequences and problems that may
derive from it as well as on the success of some behaviours for diminishing the risk of
suffering from HT in the future, along with stronger perceptions of personal
controllability. Our findings support those from Figueiras et al. (2010) regarding the
perceptions of necessity of treatment among hypertensive patients, but run counter
289
those by Hsiao et al. (2012) regarding the adherence to medication. It is difficult to
compare our findings with those obtained with other populations and diseases due to
dissimilarities of clusters' configurations, but our results support some of them (e.g., Lin
& Hiedrich, 2012 for coping styles) and contradict some others (e.g., Charlier et al.,
2012 for physical activity). Perhaps the type of population and behaviour is a key factor
on this relationship, something that future research should clarify.
The important differences between the three configurations obtained in the present
study, especially between clusters of low and very low awareness and concern (C1 and
C2) and cluster of high awareness and concern (C3) give us important and valuable
information in order to increase the accuracy of illness representations, the perception
of dangerousness of the disease and the possibility of prevention of HT with the final
aim of reducing the prevalence of this disease due to an adequate, tailored primary
prevention.
This study suffers from many limitations to be addressed by future research.
Extracting descriptive attributes for a group of individuals can be performed with
different group-profiling statistical strategies to construct descriptions of a group
focussing on extracting cohesive groups based on some defined characteristics. These
procedures can yield different groupings both in terms of the number of groups and
group membership and it may be problematic in interpreting the results, because each
methodology could lead to potentially different interpretations of the underlying
structure of the data (Eshgi, Haughton, Legrand, Skaletsky & Woolford, 2011). Thus,
different clustering methodologies may result in different results which may make any
interpretation of the results dependent upon the methodology used (Eshghi et al., 2011;
Gelbard, Goldman & Spiegler, 2007). This suggests that it is necessary to ensure that
the assumptions underlying the various methods are indeed appropriate for the data.
Some of these procedures, which have been used in illness perceptions and SRM
research, are the model-based clustering by latent class analysis and latent profile
analysis (for categorical and continuous observed variables, respectively) or derived
more refined hierarchical methods, or the spatial map-based multidimensional scaling
method. In these analyses it is assumed that the variables used for grouping are
independent and, consequently, only the latent variable causes the observed variables
to be related to each other.
Some comparisons of different methods seem to indicate that non-hierarchical
methods typically perform better than hierarchical ones (Gelbard et al., 2007) and that,
compared to, for example, latent class analysis, traditional cluster analysis provides the
most homogeneous clusters while most effectively differentiating between clusters
(Eshghi et al., 2011). Nevertheless, the best method depends on different factors,
290
including type of data and their properties (e.g., covariances), aims of the researcher or
knowledge on number of clusters, and others have indicated that other techniques
such as latent class analysis or latent profile analysis may perform better under some
circumstances (Steinley & Brusco, 2011). We decided to run k-means analysis
because the major part of the research on illness perceptions uses this method for
clustering participants and it has proved to be stable and valid for grouping cases.
Moreover, many of such studies involve a previous hierarchical clustering (e.g.,
Ward's method) to obtain a suitable initial number of clusters and a posterior non-
hierarchical clustering (e.g., k-means cluster analysis) for refining grouping and
profiling, and this has been also recommended (Clatworthy et al., 2005). Nevertheless,
as presented in Table 1 and as stressed by Clatworthy et al. (2007), two to four
clusters merged in the research regarded with clustering based on illness perceptions.
Given this, we eliminated the first step and used k-means for exploring solutions with
two, three and four factors in order to select that with higher statistical support and
theoretical meaningfulness. We also based our decision on several indexes such as
PSF and Goodman and Kruskal’s λ, considered efficient statistic for determining the
goodness of the clustering solution.
Furthermore, given the scarcity of investigations on HT representations and
preventive behaviours in Spanish and other populations, we encourage researchers to
conduct new studies aimed at replicating our results and to include cross-cultural
comparison purposes. It would be advisable to increase the number of participants and
to include a more heterogeneous sample. The reliance on self-reported diagnoses of
personal and family member HT has important limitations, as prevalence may be
under- or overestimated. Nonetheless, this procedure has been found to show a
moderate to excellent agreement with epidemiological, population-based prevalence in
nationwide samples (Lima-Costa, Peixoto & Firmo, 2004; Selem, Castro, Galvao, Lobo
& Fisberg, 2013; Van Eenwyk, Bensley, Ossiander & Krueger, 2012). Thus, self-reports
are considered valid and an appropriate indicator for the surveillance of HT prevalence
in the absence of BP measurement. Researchers and health specialists are
increasingly obtaining information on chronic illnesses from self-reports (e.g.,
Estoppey, Paccaud, Vollenweider & Marques-Vidal, 2011; Kaplan, Huguet & Feeney,
2010; Pereira et al., 2012; Pitsavos et al., 2006; Valderrama, Valderrama, Tong, Ayala
& Keenan, 2008). However, medical data would complete self-reported information.
Future research should also compare the beliefs of non-patients, caregivers and
patients with controlled and uncontrolled HT. Further, neither the type and accuracy of
knowledge the participants had nor the sources of their representations were
considered herein, and it would be appropriate to know and compare the beliefs and
291
behaviours of people who have significant medical knowledge with those held by
people with no specialised knowledge. It would be also interesting to consider
participant's current or future risk of having HT due to behavioural or genetic causes.
Finally, it would be interesting to explore how illness perceptions and preventive
representations and behaviours themselves change over time in response to new
influences, such as an individual’s personal and/or family experience with the illness or
a tailored intervention.
Despite these limitations, our results are novel and interesting. To date, there are
no precedents about the identification of HT illness models profiles in healthy general
population and the relationship between these configurations and behavioural
outcomes such as the practice of preventive actions. Thus, our findings allow us to
better understand the relationship between different profiles of illness schemata,
perceptions of health risks and prevention possibilities in a very common and high
incidence disease such as HT, and the efforts in preventing this silent killer that the
normotensive population makes. Furthermore, as far as we know, our research is
pioneer in clustering illness representations about HT in the general population.
Definitely, our findings could be very helpful in order to design and implement
strategies in a practical way. On one hand, our findings highlight the problem of the
lack of awareness about what this illness means and the health problems that can be
provoked by a high BP in the general population. On the other hand, knowing in which
profile is involved a person instead his(her) isolated HT representations helps us to
easily modify groups of inaccurate beliefs about HT and linked health risks in people of
the two profiles identified as more dangerous, especially in one of them. This could be
an effective way for incrementing preventive behaviours in these collectives.
Acknowledgement
We are grateful to all the participants who made this study possible.
Funding
This research was partially supported with the financial aid provided to the Psicología
de la Salud y Medicina Conductual – Health Psychology & Behavioural Medicine
Research Group (CTS-0267) by the Consejería de Innovación, Ciencia y Empresa,
Junta de Andalucía (Spain).
292
References
Anagnostopoulos, F. & Spanea, E. (2005). Assessing illness representations of breast
cancer: Comparison of patients with healthy and benign controls. Journal of
Psychosomatic Research, 58, 327-334.
Aroian, K.J., Rosalind, M.P., Rudner N. & Waser, L. (2012). Hypertension prevention
beliefs of Hispanics. Journal of Transcultural Nursing, 23, 134-142.
Backé, E.M., Seidler, A., Latza, U., Rossnagel, K. & Schumann, B. (2012). The role of
psychosocial stress at work for the development of cardiovascular diseases: A
systematic review. International Archives of Occupational Environmental Health,
85, 67-79.
Banegas, J.R., López-García, E., Dallongeville, J., Guallar, E., Halcox, J.P., Borghi. C.
et al. (2011). Achievement of treatment goals for primary prevention of
cardiovascular disease in clinical practice across Europe: The EURIKA study.
European Heart Journal, 32, 2143-2152.
Banegas, J.R. (2005). Epidemiología de la hipertensión arterial en España. Situación
actual y perspectivas. Hipertensión, 22, 353-362.
Babu, G.R., Waran, J.A., Mahapatra, T., Mahapatra, S., Kumar, A., Detels, R. et al.
(2014). Is hypertension associated with job strain? A meta-analysis of
observational studies. Occupational Environmental Medicine, 71, 220-227.
Bazán, G.E., Osorio, M., Miranda, A.L., Alcántara, O. & Uribe, G. (2013). Validación del
cuestionario breve sobre percepción de la enfermedad (BIPQ) en hipertensos.
Revista de Psicología de Trujillo, 15, 78-91. Bazzazian, S. & Besharat, M.A. (2010). Reliability and validity of a Farsi version of the
brief illness perception questionnaire. Procedia Social and Behavioral Sciences, 5,
962-996.
Beléndez, R., Bermejo, R.M., & García-Ayala, M.D. (2005). Estructura factorial de la
versión española del Revised Illness Perception Questionnaire en una muestra de
hipertensos. Psicothema, 17, 318-324.
Broadbent, E., Petrie, K.J., Main, J. & Weinman, J. (2006). The brief illness perception
questionnaire. Journal of Psychosomatic Research, 6, 631-7.
Buick, D. L. (1997). Illness representations and breast cancer: Coping with radiation
and chemotherapy. In K. J. Petrie & J. A. Weinman (Eds.), Perceptions of health &
illness (pp. 379-410). Amsterdam: Harwood Academic Press.
Cabassa, L.J. (2007). Latino immigrant men's perceptions of depression and attitudes
toward help seeking. Hispanic Journal of Behavioral Sciences, 29, 492-509.
Calinski, T. & Harabasz, J. (1974). A dendrite method for cluster analysis.
Communications in Statistics, 3, 1-27.
293
Cameron, L.D. & Leventhal, H. (Eds.) (2003). The self-regulation of health and illness
behaviour. London: Routledge.
Cameron, L.D. & Moss-Morris, R. (2004). Illness-related cognition and behaviour. In D.
French, K. Vedhara, A.A. Kaptein & J. Weinman (eds.), Health and Psychology
(pp. 84-110). Malden, MA: BPS Blackwell.
Charlier, C., Pauwel, S.E., Lechner, L., Spitaels, H., Bourgois, J., De Bourdeaudhuij, I.
et al. (2012). Physical activity levels and supportive care needs for physical activity
among breast cancer survivors with different psychosocial profiles: A cluster-
analytical approach. European Journal of Cancer Care, 21, 790-799.
Chen, S.L., Tsai, J.C. & Chou, K.R. (2011). Illness perceptions and adherence to
therapeutic regimens among patients with hypertension: A structural model
approach. International Journal of Nursing Studies, 48, 235-245.
Chen, S.L., Tsai, J.C. & Lee, W.L. (2009). The impact of illness perception on
adherence to therapeutic regimens of patients with hypertension in Taiwan.
Journal of Clinical Nursing,18, 2234-2244.
Chida, Y. & Steptoe, A. (2010). Greater cardiovascular responses to laboratory mental
stress are associated with poor subsequent cardiovascular risk status: A meta-
analysis of prospective evidence. Hypertension, 5, 51026-1032.
Chobanian, A.V., Bakris, G.L., Black, H.R., Cushman, W.C., Green, L.A., Izzo, J.L. et
al. (2003). The Seventh Report of the Joint National Committee on Prevention,
Detection, Evaluation, and Treatment of High Blood Pressure. JAMA, 289, 2560-
2572.
Clatworthy, J., Buick, D., Hankins, M., Weinman, J. & Horne, R. (2005). The use and
reporting of cluster analysis in health psychology: A review. British Journal of
Health Psychology, 10, 329-358.
Clatworthy, J., Hankins, M., Buick, D., Weinman, J. & Horne, R. (2007). Cluster
analysis in illness perception research: A Monte Carlo study to identify the most
appropriate method. Psychology & Health, 22, 123-142.
Crawshaw, J., Rimington, H., Weinman, J. & Chilcot, J. (2015). Illness perception
profiles and their association with 10-year survival following cardiac valve
replacement. Annals of Behavioural Medicine, 49, 769-775.
Del Castillo, A., Godoy-Izquierdo, D., Vázquez, M.L. & Godoy, J.F. (2011). Illness
beliefs about cancer among healthy adults who have and have not lived with
cancer patients. International Journal of Behavioral Medicine, 18, 342-351.
Del Castillo, A., Godoy-Izquierdo, D., Vázquez, M.L. & Godoy, J.F. (2013). Illness
beliefs about hypertension among non-patients and healthy relatives patients.
Health, 5, 47-58.
294
De Raaij, E.J., Schroder, C., Maissan, F.J., Pool, J.J. & Wittink, H. (2012).
Crosscultural adaptation and measurement properties of the Brief Illness
Perception Questionnaire- Dutch Language Version. Manual Therapy, 17, 330-
335.
Dempster, M., McCorry, N.K., Brennan, E., Donnelly, M., Murray, L.G. & Johnston, B.T.
(2010). Do changes in illness perceptions predict changes in psychological
distress among oesophageal cancer survivors? Journal of Health Psychology, 16,
500-509.
Dempster, M., McCorry, N.K., Brennan, N., Donnelly, M., Murray. L.J. & Johnston, B.T.
(2011a). Psychological distress among family carers of oesophageal cancer
survivors: The role of illness cognitions and coping. Psycho-Oncology, 20, 698-
705.
Dempster, M., McCorry, N.K., Brennan, N., Donnelly, M., Murray. L.J. & Johnston, B.T.
(2011b). Illness perceptions among carer survivor dyads are related to
psychological distress among oesophageal cancer survivors. Journal of
Psychosomatic Research, 70, 432-439.
Dickinson, H.O., Mason, J.M., Nicolson, D.J., Campbell, F., Beyer, F.R., Cook, J.V. et
al. (2006). Lifestyle interventions to reduce raised blood pressure: A systematic
review of randomized controlled trials. Journal of Hypertension, 24, 215-233.
Eshghi, A., Haughton, D., Legrand, P., Skaletsky, M. & Woolford, S. (2011). Identifying
groups: A comparison of methodologies. Journal of Data Science, 9, 271-291.
Estoppey, D., Paccaud, F., Vollenweider, P. & Marques-Vidal, P. (2011). Trends in self-
reported prevalence and management of hypertension, hypercholesterolemia and
diabetes in Swiss adults, 1997-2007. BMC Public Health, 11, 114-123.
Félix-Redondo, F.J., Fernández-Bergés, D., Pérez, J.F., Zaro, M.J., García, A.,
Lozano, M. et al. (2011). Prevalencia, detección, tratamiento y grado de control de
los factores de riesgo cardiovascular en la población de Extremadura (España).
Estudio HERMEX. Atención Primaria, 43, 426-434.
Figueiras, M., Marcelino, D.L., Claudino, A., Cortes, M.A., Maroco, J. & Weinman.
(2010). Patients' illness schemata of hypertension: The role of beliefs for the
choice of treatment. Psychology & Health, 25, 507-517.
Figueiras, M. & Weinman, J. (2003). Do congruent patient and spouse perceptions of
myocardial infarction predict recovery? Psychology & Health, 18, 201-16.
Forman, J.P., Stampfer, M.J. & Curhan, G.C. (2009). Diet and lifestyle risk factors
associated with incident hypertension in women. JAMA, 302, 401-411.
Fortune, D.G., Smith, J.V. & Garvey, K. (2005). Perceptions of psychosis, coping,
appraisals, and psychological distress in the relatives of patients with
295
schizophrenia: An exploration using self-regulation theory. British Journal of
Clinical Psychology, 44, 319-331.
French, D.P., Cooper, A. & Weinman, J. (2006). Illness perceptions predict attendance
at cardiac rehabilitation following acute myocardial infarction: A systematic review
with meta-analysis. Journal of Psychosomatic Research, 61, 757-767.
French, D., Schröder, C. & Van Oort, L. (2011). The Brief IPQ does not have ‘robust
psychometrics’: Why there is a need for further developmental work on the Brief
IPQ, and why our study provides a useful start. British Journal of Heath
Psychology, 16, 250-256.
Frisoli, T.M., Schmieder, R.E., Grodzicki, T. & Messerli, F.H. (2011). Beyond salt:
Lifestyle modifications and blood pressure. European Heart Journal, 32, 3081-
3087.
Gasperin, D., Netuveli, G., Soares Dias-da-Costa, J. & Pattussi, M. (2009). Effect of
psychological stress on blood pressure increase: A meta-analysis of cohort
studies. Cadernos de Saúde Pública, 25, 715-726.
Gelbard, R., Goldman, O. & Spiegler, I. (2007). Investigating diversity of clustering
methods: An empirical comparison. Data Knowledge and Engineering, 63, 155-
166.
Godoy-Izquierdo, D., López-Chicheri, I., López-Torrecillas, F., Vélez, M. & Godoy, J.F.
(2007). Contents of lay illness models dimensions for physical and mental
diseases and implications for health professionals. Patient Education and
Counseling, 67, 196-213.
Gopinath, B., Louie, J.C., Flood, V.M., Rochtchina, E., Baur, L.A. & Mitchell, P. (2014).
Parental history of hypertension and dietary intakes in early adolescent offspring: A
population-based study. Journal of Human Hypertension, 28, 721-725.
Graham, L., Dempster, M., McCorry, N., Donnelly, M. & Johnston, B.T. (2015). Change
in psychological distress in longer-term oesophageal cancer carers: Are clusters of
illness perception change a useful determinant? Psycho-Oncology, DOI:
10.1002/pon.3993.
Grau, M., Elosua, R., Cabrera de León, M., Guembe., M.J., Baena-Díez, J.M., Vega
Alonso, T. et al. (2011). Cardiovascular risk factors in Spain in the first decade of
the 21st century, a pooled analysis with individual data from 11 population-based
studies: The DARIOS Study. Revista Española de Cardiología (English Edition),
64, 295-304.
Grayson, P.C., Amudala, N.A., McAlear, C.A., Leduc, R.L., Shereff, D., Richesson, R.
et al. (2013). Illness perceptions and fatigue in systemic vasculitis. Arthritis Care
Research (Hoboken), 65, 1835-1843.
296
Guo, X., Zou, L., Zhang, X., Li, J., Zheng, L., Sun, Z. et al. (2011). Prehypertension. A
meta-analysis of the epidemiology, risk factors, and predictors of progression.
Texas Heart Institute Journal, 38, 643-652.
Heckler, E., Lambert, J., Leventhal, E., Leventhal, H., Janh, E. & Contrada, R. (2008).
Commonsense illness belief, adherence behaviors and hypertension control
among African Americans. Journal of Behavioral Medicine, 31, 391-400. Heijmans, M. (1999). The role of patients’ illness representations in coping and
functioning with Addison’s disease. British Journal of Health Psychology, 4,137-
149.
Heijmans, M. & de Ridder, D. (1998). Assessing illness representations of chronic
illness: Explorations of their disease-specific nature. Journal of Behavioral
Medicine, 21, 485-503.
Hagger, M. & Orbell, S. (2003). A meta-analytic review of the common-sense model of
illness representations. Psychology and Health, 18,141-184.
Harrison, S.L., Robertson, N., Graham, C.D., Williams J., Steiner, M.C., Morgan, M.D.
et al. (2014). Can we identify patients with different illness schema following an
acute exacerbation of COPD: A cluster analysis. Respiratory Medicine, 108, 319-
328.
Hobro, N., Weinman, J. & Hankins, M. (2004). Using the self-regulatory model to
cluster chronic pain patients: The first step towards identifying relevant treatments?
Pain, 108, 276-283.
Hsiao, C.Y., Chang, C. & Chen, C.D. (2012). An investigation on illness perception and
adherence among hypertensive patients. Kaohsiung Journal of Medical Sciences,
28, 442-447.
Huang, Y., Wang, S., Cai, X., Mai, W., Hu, Y., Tang, H. et al. (2013). Prehypertension
and incidence of cardiovascular disease: A meta-analysis. BMC Medicine, 11, 177-
186.
Jain, A.K., Murty, N.M. & Flynn, P.J. (1999). Data clustering: A review. Computing
Surveys, 31, 264-322.
Kann, L., Kinchen, S., Shanklin, S.L., Flint, K.H., Hawkins, J., Harris, W.A. et al. (2014).
Youth risk behavior surveillance - United States, 2013. Atlanta, GA: Centers for
Disease Control and Prevention. Division of Adolescent and School Health.
Kaplan, M., Huguet, N. & Feeney, D.H. (2010). Self-reported hypertension prevalence
and income among older adults in Canada and the United States. Social Science
and Medicine, 6, 844-849.
Kaptein, A.A., Scharloo, M., Helder, D.I., Kleijn, W.C., van Korlaar, I.M. & Woertman,
M. (2003). Representations of chronic illness. In L.D. Cameron and H. Leventhal
297
(eds.), The self-regulation of health and illness behaviour (pp. 97-118). London:
Routledge.
Kaptein, A., Bijsterbosch, J., Scharloo, M., Hampson, S.E., Kroon, H.M. &
Kloppenburg, M. (2010). Using the Common Sense Model of Illness Perceptions to
examine osteoarthritis change: A 6-year longitudinal study. Health Psychology, 29,
56-64.
Kaptein, A.A., van Korlaar, I.M., Cameron, L.D., Vossen, C.Y., van der Meer, F.J. &
Rosendaal, F.R. (2007). Using the common-sense model to predict risk perception
and disease-related worry in individuals at increased risk for venous thrombosis.
Health Psychology, 26, 807-812.
Karademas, E.C., Zarogiannos, A. & Karamvakalis, N. (2010). Cardiac patient-spouse
dissimilarities in illness perception: Associations with patient self-rated health and
coping strategies. Psychology & Health, 25, 451-463.
Kearney, P.M., Whelton, M., Reynolds, K., Muntner, P., Whelton, P.K. & He, J. (2005).
Global burden of hypertension: Analysis of worldwide data. The Lancet, 365, 217-
223.
Kearney, P.M., Whelton, M., Reynolds, K., Whelton, P.K. & He, J. (2004). Worldwide
prevalence of hypertension: A systematic review. Journal of Hypertension, 22, 11-
19.
Kohlmann, S., Rimington, H. & Weinman, J. (2012). Profiling illness perceptions to
identify patients at-risk for decline in health status after heart valve replacement.
Journal of Psychosomatic Research, 72, 427-433.
Kucukarslan, S.N. (2012). A review of published studies of patients’ illness perceptions
and medication adherence: Lessons learned and future directions. Research in
Social and Administrative Pharmacy, 8, 371-382.
Landsbergis, P.A., Dobson, M., Koutsouras, G. & Schnall, P. (2013). Job strain and
ambulatory blood pressure: A meta-analysis and systematic review. American
Journal of Public Health, 103, 61-71.
Letelier, C.J., Núñez, D.E. &. Rey, R.J. (2011). Taxonomía de pacientes con diabetes
tipo 2 basada en sus representaciones de enfermedad. PSYKHE, 20, 115-130.
Leventhal, H., Benyamini, Y., Brownlee, S., Diefenbach, M., Leventhal, E.A., Patrick-
Miller, L. et al. (1997). Illness representations: Theoretical foundations. In K.J.
Petrie & J. Weinman (dirs.), Perceptions of health and illness (pp. 19-47). London:
Harwood Academic.
Leventhal, H., Bodnar-Deren, S., Breland, J.Y., Hash-Converse, J., Phillips, L.A.,
Leventhal, E. et al. (2011). Modeling health and illness behavior: The approach of
298
the Common-Sense Model. In A. Baum, T. Revenson & J. Singer (Eds.),
Handbook of health psychology (2nd ed.) (pp. 3–36). New York: Erlbaum.
Leventhal, H., Brissette, I. & Leventhal, E.A. (2003). The common-sense model of
regulation of health and illness. In L.D. Cameron & H. Leventhal (eds.), The self-
regulation of health and illness behaviour (pp. 42-65). London: Routledge.
Leventhal, H. & Diefenbach, M. (1991). The active side of illness cognition. In R.T.
Skelton & M. Croyle (dirs.), Mental representation in health and illness (pp. 247-
272). New York, NY: Springer Verlag.
Leventhal, H., Diefenbach, M. & Leventhal, E.A. (1992). Illness cognition: Using
common sense to understand treatment adherence and affect cognition
interactions. Cognitive Therapy and Research 116, 143-163.
Leventhal, H., Leventhal, E.A. & Cameron, L. (2001). Representations, procedures,
and affect in illness self-regulation: A perceptual-cognitive model. In A. Baum, T.A.
Revenson & J.E. Singer (dirs.), Handbook of health psychology (pp. 19-48).
Mahwah: Lawrence Erlbaum.
Leventhal, H., Leventhal, E. & Contrada, R.J. (1998). Self-regulation, health and
behavior. A perceptual cognitive approach. Psychology & Health, 13, 717-734.
Leventhal, H., Meyer, D. & Nerenz, D. (1980). The common sense model of illness
danger. In S. Rachman (ed.), Medical psychology (pp. 7-30). New York, NY:
Pergamon.
Leventhal, H., Nerenz, D.R. & Steele, D.F. (1984). Illness representations and coping
with health threats. In A. Baum, S.E. Taylor & J.E. Singer (dirs.), A handbook of
psychology and health: Sociopsychological aspects of health (pp. 219-252).
Hillsdale, NJ: Erlbaum.
Lim, S.S., Vos, T., Flaxman, A.D., Danaei, G., Shibuya, K., Adair-Rohani, H. et al.
(2012). A comparative risk assessment of burden of disease and injury attributable
to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: A systematic
analysis for the Global Burden of Disease Study 2010. The Lancet, 380, 2224-
2260.
Lima-Costa, M.F., Peixoto, S.V. & Firmo, J.O. (2004). Validity of self-reported
hypertension and its determinants (the Bambuí study). Revista de Saúde Pública,
38, 637-642.
Lin, F. & Heidrich, S.M. (2012). Role of older adult's illness schemata in coping with
mild cognitive impairment. Journal of Psychosomatic Research. 72, 357-363.
Liu, K., Daviglus, M.L., Loria, C.M., Colangelo, L.A., Spring, B., Moller, A.C. et al
(2012). Healthy lifestyle through young adulthood and the presence of low
299
cardiovascular disease risk profile in middle age. The Coronary Artery Risk
Development in (Young) Adults (CARDIA) Study. Circulation,125, 996-1004.
Lobban, F., Barrowclough, C. & Jones, S. (2003). A review of the role of illness models
in severe mental illness. Clinical Psychology Review, 23, 171-196.
Lobban, F., Barrowclough, C. & Jones, S. (2005). Assessing cognitive representations
of mental health problems. II. The illness perception questionnaire for
schizophrenia: Relatives’ version. British Journal of Clinical Psychology, 44, 163–
179.
Lochting, I., Garratt, A.M., Storheim, K., Werner, E.L. & Grotle, M. (2013). Evaluation of
the Brief Illness Perception Questionnaire in sub-acute and chronic low back pain
patients: Data quality, reliability and validity. Journal of Pain Relief, 2, 1-7.
Lloyd-Jones, D., Adams, R.J., Brown, T.M., Carnethon, M., Shifan, D., De Simone. G.
et al. (2011). Heart disease and stroke statistics-2010 update. A report from the
American Heart Association. Circulation, 121, 46-215.
Lloyd-Jones, D., Hong, Y., Labarthe, D., Mozaffarian, D., Appel, L.J., Van Horn, L. et
al. (2010). Defining and setting national goals for cardiovascular health promotion
and disease reduction. Circulation, 121, 586-613.
Lowe, R., Porter, A., Snooks, H., Button, L. & Evans, B.A. (2011). The association
between illness representation profiles and use of unscheduled urgent and
emergency health care services. British Journal of Health Psychology, 16, 862-
879.
Marta, M., Zanchetti, A., Wong, N.D., Malyszko, J., Rysz, J. & Banach, M. (2013).
Patients with prehypertension - do we have enough evidence to treat them?.
Current Vascular Pharmacology, 11, 1-12.
McCorry, N.K., Dempster, M., Quinn, J., Hogg, A., Newell, N., Moore, M. et al. (2013).
Illness perception clusters at diagnosis predict psychological distress among
women with breast cancer at 6 months post diagnosis. Psycho-Oncology, 22, 692-
698.
Mc Sharry, J., Moss-Morris, R. & Kendrick, T. (2011). Illness perceptions and
glycaemic control in diabetes: A systematic review with meta-analysis. Diabetic
Medicine, 11, 1300-1310.
Medley, A.R., Powell, T., Worthington, A., Chohan, C. & Jones, C. (2010). Brain injury
beliefs, self-awareness, and coping: A preliminary cluster analytic study based
within the self-regulatory model. Neuropsychological Rehabilitation, 20, 899-921.
Meng, L., Chen, D., Yang, Y., Zheng, Y. & Hui, R. (2012). Depression increases the
risk of hypertension incidence: A meta-analysis of prospective cohort studies.
Journal of Hypertension, 30, 842-51.
300
Meyer, D., Leventhal, H. & Gutmann, M. (1985). Common sense models of illness: The
example of hypertension. Health Psychology, 4, 115-135.
Miglioretti, M., Mazzini, L., Oggioni, G. D., Testa, L. & Monaco, F. (2008). Illness
perceptions, mood and health-related quality of life in patients with amyotrophic
lateral sclerosis. Journal of Psychosomatic Research, 65, 603-609.
Milligan, G.W., & Cooper, M.C. (1985). An examination of procedures for determining
the number of clusters in a data set. Psychometrika, 50, 159-179.
Moreno-Gómez, C., Romaguera-Bosch, D., Tauler-Riera, P., Bennasar-Veny, M.,
Pericas-Beltran, J., Martinez-Andreu, S. et al. (2012). Clustering of lifestyle factors
in Spanish university students: The relationship between smoking, alcohol
consumption, physical activity and diet quality. Public Health Nutrition, 15, 2131-
2139.
Moss-Morris, R. (1997). The role of illness cognitions and coping in the aetiology and
maintenance of the chronic fatigue syndrome (CFS). In K.J. Petrie and J. Weinman
(dirs.), Perceptions in health and illness: Current research and applications. (pp.
411-439). London: Harwood Academic.
Moss-Morris, R., Weinman, J., Petrie, K., Horne, R., Cameron, L. & Buick, D. (2002).
The Revised Illness Perception Questionnaire (IPQ-R). Psychology & Health, 17,
1-16.
Mozaffarian, D., Wilson, P.W.F. & Kannel, W.B. (2008). Beyond established and novel
risk factors: Lifestyle risk factors for cardiovascular disease. Circulation, 117, 3031-
3038.
Nabi, H., Chastang, J.F., Lefèvre, T., Dugravot, A., Melchior, M., Marmot, M.G. et
al. (2011). Trajectories of depressive episodes and hypertension over 24 years:
The Whitehall II Prospective Cohort Study. Hypertension, 57, 710-716.
Nagele, E., Jeitler, K., Horvath, K., Semlitsch, T., Posch, N., Herrmann, K. et al. (2014).
Clinical effectiveness of stress-reduction techniques in patients with hypertension:
Systematic review and meta-analysis. Journal of Hypertension, 32, 1936-1944.
Newell, M., Modeste, N., Marshak, H. & Wilson, C. (2009). Health beliefs and the
prevention of hypertension in a Black population living in London. Ethnicity &
Disease, 19, 35-41.
Norfazilah, A., Samuel, A., Law, P.T., Ainaa, A., Nurul, A., Syahnaz, M.H. et al. (2013).
Illness perception among hypertensive patients in primary care centre UKMMC.
Malays Family Physician, 8, 19-25.
Olafiranye, O., Jean-Louis, G., Zing, F., Nunes, J. & Vincent, M.T. (2011). Anxiety and
cardiovascular risk: Review of epidemiological and clinical evidence. Mind Brain, 2,
32-37.
301
Ortiz, H., Vaamonde, R.J., Zorrilla, B., Arrieta, F., Casado. M. & Medrano, M.J. (2011).
Prevalencia, grado de control y tratamiento de la hipertensión arterial en la
población de 30 a 74 años de la comunidad de Madrid. Estudio Predimerc. Revista
Española de Salud Pública, 85, 329-338.
Ostrowski, F., Artyszuk, l., Lewandowski, J. & Gaciong, Z. (2008). High normal blood
pressure – clinical fact or myth? Arterial Hypertension, 12, 374-381.
Pacheco-Huergo, V., Viladrich, C., Pujol-Ribera, E., Cabezas-Peña, C., Núñez, M.,
Roura-Olmeda, P. et al. (2012). Percepción en enfermedades crónicas: Validación
lingüística del Illness Perception Questionnaire Revised y del Brief Illness
Perception Questionnaire para la población española. Atención Primaria, 44, 280-
287.
Pereira, M., Carreira, H., Vales, C., Rocha, V., Azevedo, A. & Lunet, N. (2012). Trends
in hypertension prevalence (1990-2005) and mean blood pressure (1975-2005) in
Portugal: A systematic review. Blood Pressure 4, 220- 226.
Perk, J., De Backer, G., Gohlke, H., Graham, I., Reiner, Z., Verschuren, M. et al.
(2012). European guidelines on cardiovascular disease prevention in clinical
practice (version 2012). The Fifth Joint Task Force of the European Society of
Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical
Practice. European Heart Journal, 33, 1635-1701.
Peters, R.M., Aroian, K.J. & Flack, J.M. (2006). African American culture and
hypertension prevention. West Journal of Nursing Research, 28, 831-863.
Petrie, K.J. & Weinman, J. (dirs.) (1997). Perceptions of health and illness. London:
Harwood Academic.
Pickett, S., Allen, W., Franklin, M. & Peters, R.M. (2014). Illness beliefs in African
Americans with hypertension. Western Journal of Nursing Research, 36, 152-170. Pitsavos, C., Milias, G.A., Panagiotakos, D.B., Xenaki, D., Panagopoulos, G. &
Stefanadis, C. (2006). Prevalence of self-reported hypertension and its relation to
dietary habits, in adults; a nutrition & health survey in Greece. BMC Public Health,
6, 206-214.
Player, M.S. & Peterson, L.E. (2011). Anxiety disorders, hypertension, and
cardiovascular risk: A review. The International Journal of Psychiatry in Medicine,
41, 365-377.
Rainforth, M.V., Schneider, R.H., Nidich, S.I., Gaylord-King, C., Salerno, J.W. &
Anderson, J.W. (2007). Stress reduction programs in patients with elevated blood
pressure: A systematic review and meta-analysis. Current Hypertension Reports,
9, 520-528.
302
Ross, S., Walker, A. & McLeod, M.J. (2004). Patient compliance in hypertension: Role
of illness perceptions and treatment beliefs. Journal of Human Hypertension, 18,
607-613.
Savoca, M.R., Quandt, S.A., Evans, C.D., Flint, T.L., Bradfield, A.G., Morton, T.B. et al.
(2009). Views of hypertension among young African Americans who vary in their
risk of developing hypertension. Ethnicity & Disease, 19, 28-34.
Schlomann, P. & Schmitke, J. (2007). Lay beliefs about hypertension: An interpretative
synthesis of the qualitative research. American Academy of Nurse Practitioners,
19, 358-363.
Searle, A., Norman, P., Thompson, R. & Vedhara, K. (2007). A prospective
examination of illness beliefs and coping in patients with type 2 diabetes. British
Journal of Health Psychology,12, 621-638.
Selem, S.S., Castro, M.A., Galvao, C.L., Lobo, D.M. & Fisberg, R.M. (2013). Validity of
self-reported hypertension is inversely associated with the level of education in
Brazilian individuals. Arquivos Brasileiros de Cardiologia, 100, 52-59.
Skinner, T.C., Carey, M.E., Cradock, S., Dallosso, H.M., Daly, H., Davies, M.J. et al.
(2011). Comparison of illness representations dimensions and illness
representation clusters in predicting outcomes in the first year following diagnosis
of type 2 diabetes: Results from the DESMOND trial. Psychology and Health, 26,
321-335.
Snell, D.L., Surgenor, L.J., Hay-Smith, E.J., Williman, J. & Siegert, R.J. (2015). The
contribution of psychological factors to recovery after mild traumatic brain injury: Is
cluster analysis a useful approach? Brain Injury, 29, 291-299.
Sparrenberger, F., Cichelero, F.T., Ascoli, A.M., Fonseca, F.P., Weiss, G., Berwanger
O. et al. (2009). Does psychosocial stress cause hypertension? A systematic
review of observational studies. Journal of Human Hypertension, 23, 12-19.
Steinley, D. & Brusco, M.J. (2011). Evaluating mixture modeling for clustering:
Recommendations and cautions. Psychological Methods,16, 63-79.
Valderrama, A.L., Tong, X., Ayala, C. & Keenan, N.L. (2008). Prevalence of self-
reported hypertension, advice received from health care professionals, and actions
taken to reduce blood pressure among US adults health styles. The Journal of
Clinical Hypertension, 12, 222-232.
Valdés, S., García-Torres, F., Maldonado-Araque, C., Goday, A., Calle-Pascual, A.,
Soriguer, F. et al. (2014). Prevalence of obesity, diabetes and other cardiovascular
risk factors in Andalusia (Southern Spain). Comparison with national prevalence
data. The [email protected] Study. Revista Española de Cardiología (English Edition), 67,
442-448.
303
Van Eenwyk, J., Bensley, L., Ossiander, E.M. & Krueger, K. (2012). Comparison of
examination-based and self-reported risk factors for cardiovascular disease,
Washington State, 2006-2007. Prevention of Chronic Disease, 9, 321-332.
Van Oort, L., Schröder, C.D. & French, D.P. (2011). What do people think about when
they answer the Brief Illness Perception Questionnaire? A 'think-aloud' study.
British Journal of Health Psychology, 16, 231-245.
Weinman, J., Petrie, K., Moss-Morris, R. & Horne, R. (1996). The Illness Perception
Questionnaire: A new method for assessing the cognitive representation of illness.
Psychology and Health, 11, 431-435.
Wilson, R.P., Freeman, A., Kazda, M.J., Andrews, T.C., Berry, L., Vaeth, P.A. et al.
(2002). Lay beliefs about high blood pressure in a low- to middle-income urban
African-American community: An opportunity for improving hypertension control.
The American Journal of Medicine,112, 26-30.
World Health Organization (2013). Información general sobre la hipertensión en el
mundo. Geneva: World Health Organization.
Zhang, W. & Li, N. (2011). Prevalence, risk factors, and management of
prehypertension. International Journal of Hypertension, 2011, Article ID 605359.
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PARTE IV:
DISCUSIÓN
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CAPÍTULO 12
Discusión general,
limitaciones y perspectivas futuras
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12.1. Discusión general
El objetivo general de esta Tesis Doctoral ha sido explorar los postulados centrales del
Modelo de Autorregulación (SRM, Self-Regulation Model) de Leventhal y
colaboradores (Cameron y Leventhal, 2003; Diefenbach y Leventhal, 1996; Leventhal
y Diefenbach, 1991; Leventhal et al., 1980, 1984, 1992, 1997, 1998, 2001, 2003).
Modelo teórico ampliamente aceptado acerca de las representaciones tanto cognitivas
como emocionales de la enfermedad que las personas construimos, y que en los
últimos años se ha convertido en objeto de importante interés en el ámbito de la
Psicología de la Salud, dando lugar a gran cantidad de investigaciones y estudios. Sin
embargo, como se ha señalado en más de una ocasión a lo largo de esta Tesis
Doctoral, aunque el SRM ha sido aplicado a un amplio número de enfermedades tanto
físicas, como psicológicas (aunque en menor medida en estas últimas), la mayor parte
de la investigación se ha orientado a conocer las creencias de enfermedad y su
relación con otras variables (e.g., afrontamiento, adherencia a regímenes terapéuticos,
reacciones emocionales…), así como, su influencia en el bienestar y calidad de vida
de la población enferma, o con alto riesgo de padecer la enfermedad. En mucha
menor medida, se ha orientado a estudiar estas mismas variables en población sana,
cuidadores de esos enfermos, o familiares, quedando relegada a un segundo plano la
población general, que no padece ni ha padecido la alteración.
A pesar de ello, el SRM establece que también en población no enferma las
representaciones cognitivas y emocionales sobre la enfermedad en general, así como
sobre cada alteración en particular, juegan un papel nuclear en la percepción de la
enfermedad, incluyendo el posible riesgo de padecer una alteración, y en las
conductas de manejo de dicho riesgo, incluyendo la prevención de la misma, a través
de la elicitación de una serie de estrategias y actuaciones (e.g., búsqueda de
información, cambios en el estilo de vida, someterse a exámenes médicos
periódicos...) que permitan proteger y conservar la salud y el bienestar. En este
sentido, es importante subrayar que las creencias sobre la enfermedad son
representaciones de la misma que pueden estar o no, basadas en conocimientos
adecuados, pero que de igual manera van a guiar la conducta del individuo que las
tiene. Por ello, se espera que representaciones cognitivas más ajustadas al
conocimiento biomédico y reacciones emocionales más funcionales y adaptativas
motivarán conductas más eficaces de manejo de las amenazas a la salud.
Por ello, esta Tesis Doctoral ha perseguido el objetivo de estudiar las
representaciones de enfermedad en población española sana, así como la relación
entre esas representaciones y variables de afrontamiento y prevención de la misma,
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en dos enfermedades concretas, el cáncer y la hipertensión. La elección de estas dos
enfermedades, que en un principio puedan parecer tan dispares, no ha sido al azar,
sino que ha sido determinada por diversos motivos, uno de ellos, es su enorme
impacto e incidencia a nivel mundial y al devastador efecto que pueden tener para la
salud y el bienestar si no se actúa a tiempo sobre ellas.
De un modo general, los estudios 1 y 2 se han centrado en estudiar las
representaciones cognitivas y emocionales sobre el cáncer que tiene la población sana
con diferentes grados de relación con la enfermedad, y los estudios 3, 4 y 5 han
estudiado las representaciones no especializadas sobre la hipertensión.
Con respecto al estudio 1, se han planteado como objetivos la exploración de las
representaciones cognitivas y emocionales que sobre el cáncer posee la población
que no ha padecido esta enfermedad, y con diferente experiencia familiar con la
misma, así como la posible influencia de variables sociodemográficas en esas
representaciones tales como la edad, el sexo o el nivel educativo, así como de la
experiencia familiar derivada de haber convivido o no, con un enfermo de cáncer.
Los hallazgos de este estudio confirman la propuesta del SRM avalada por
diferentes estudios realizados con enfermos de cáncer, poblaciones en riesgo y
supervivientes (e.g., Anagnostopoulos y Spanea, 2008; Buick, 1997; Buick y Petrie,
2002; Constanzo et al., 2010; Hevey et al., 2009; Hopman y Rijken, 2015; Hoogerwerf
et al., 2012; Gercovich et al., 2012; Llewelyn et al., 2007; Lancastle et al., 2011; Orbell
et al, 2008; Rees et al., 2004; Scharloo et al., 2005; Trask et al., 2008) respecto a que
las personas construimos diferentes esquemas de la enfermedad, en función de
diferentes fuentes de información, incluyendo creencias, conocimientos y experiencias
personales, informaciones recibidas de otros, y el cuerpo de conocimiento popular y
las creencias y normas socio-culturales (Diefenbach y Leventhal, 1996; Leventhal et
al., 1980, 1984, 1992; Leventhal y Diefenbach, 1991). También confirman nuestra
hipótesis de partida, que establecía que las representaciones de enfermedad, en este
caso sobre el cáncer, podrían considerarse como una combinación de aspectos
ajustados y cercanos al conocimiento biomédico objetivo y de otros aspectos más
alejados del mismo como creencias laicas, populares y culturales, aunque los
hallazgos de los estudios con población sana (incluidos familiares y cuidadores y
supervivientes al cáncer) son variados e inconclusos (e.g., Anagnostopoulos y
Spanea, 2005; Buick y Petrie, 2002; Cameron, 2008; De Castro et al., 2013, 2015; Del
Castillo et al., 2011; Dempster et al., 2011a,b; Figueiras y Alves, 2007; Godoy-
Izquierdo et al., 2007; Graham et al., 2015; Johansson et al., 2004; Juth et al., 2005;
Lykins et al., 2008; Orbell et al., 2008; Rees et al., 2004; Wang et al., 2010).
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En general, los resultados del estudio 1 indican que el cáncer era percibido por los
participantes como una alteración de larga duración, aunque no necesariamente
crónica, que es sintomática y dolorosa y en la que la pérdida de peso y de fuerza o
debilidad, las náuseas y los problemas emocionales se encuentran entre los síntomas
más destacados. La población española sana también consideraba la enfermedad
como cambiante y cíclica con periodos en los que mejora y empeora, así como
asociada a importantes posibilidades de curación a través de los tratamientos médicos
existentes, aunque la confianza en la influencia de las acciones del propio paciente
sobre su enfermedad fue mucho menor. El cáncer fue asimismo considerado como
una alteración con un fuerte impacto en la vida de los pacientes y sus familiares. La
mitad de los participantes consideró poseer una buena comprensión de lo que esta
enfermedad significa. En cuanto a las representaciones de causas, el cáncer es
considerado como prevenible, ya que los factores más frecuentemente señalados por
los participantes fueron aspectos controlables como fumar, el consumo de alcohol o
los hábitos de alimentación, aunque también destacaron otros aspectos de carácter no
controlable como son la contaminación, la herencia, la edad o la suerte. Finalmente,
los participantes mostraron sentimientos fuertes de miedo, ansiedad, preocupación o
tristeza ante la posibilidad de sufrir la enfermedad en el futuro.
Estos resultados serían muy similares a los hallados en el único estudio que ha
explorado las representaciones sobre el cáncer en población sana española, aunque
en este último la confianza en las posibilidades de controlar la enfermedad a través de
las acciones del propio enfermo era mayor que a través de los tratamientos
disponibles y la percepción de las posibilidades de prevenir la enfermedad fue menor
que en nuestro estudio (Godoy-Izquierdo, López-Chicheri et al., 2007). También están
en la línea de otros estudios realizados con muestras no españolas (e.g.,
Anagnostopoulos y Spanea, 2005; De Castro et al., 2013, 2015; Dempster et al.,
2011a,b; Figueiras y Alves, 2007; Juth et al., 2005; Orbell et al., 2008; Rees et al.,
2004; Wang et al., 2010).
El conocimiento de las representaciones tanto cognitivas como emocionales que
la población sana construye acerca del cáncer puede ser de gran utilidad de cara a
desarrollar programas dirigidos a prevenir la aparición de la enfermedad por un lado, y
a desmitificar su letalidad favoreciendo expectativas más positivas y realistas sobre las
posibilidades reales de curación y control y destacando el carácter preventivo de la
misma a través del desarrollo de adecuados hábitos de vida. En este sentido, las
representaciones emocionales y cognitivas halladas en este estudio 1 podrían ser
indicativas de algún modo de la influencia de determinadas campañas desarrolladas
por las administraciones públicas en nuestro país; en concreto, las representaciones
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de alta curabilidad, factores causales controlables y no necesaria cronicidad podrían
estar relacionadas con el modo en que el cáncer es mostrado por parte de las
administraciones y organismos sanitarios y de sus esfuerzos por generar en la
población general una concepción de la enfermedad más optimista y relacionada con
aspectos prevenibles.
Con respecto a la influencia de variables de carácter sociodemográfico en las
representaciones emocionales y cognitivas sobre el cáncer, diferentes estudios han
mostrado que estas variables ejercen una escasa, pero existente, influencia (e.g.,
Anagnostopoulos y Spanea, 2005; Lehto, 2007; Wang et al., 2010). En consonancia,
en nuestro estudio sólo se hallaron algunas diferencias significativas de acuerdo con el
nivel educativo para las dimensiones de coherencia y evolución, lo que parece apoyar
la idea, por otro lado lógica, de que a mayor nivel de educación formal las
representaciones son más ajustadas y correctas.
Por otro lado, los resultados de este estudio han apoyado el importante papel que
la experiencia con la enfermedad, en este caso derivada de convivir o haber convivido
con un enfermo de cáncer, ejerce en las representaciones sobre la enfermedad en
población sana y que ha sido demostrada por diferentes investigaciones (e.g.,
Anagnostopoulos y Spanea, 2005; Buick y Petrie, 2002; Dempster et al., 2001b;
Godoy-Izquierdo et al., 2007; Juth et al., 2015; Lykins et al., 2008; Orbell et al., 2008).
En el estudio 1 de esta Tesis Doctoral se ha encontrado que los familiares, amigos o
cuidadores de enfermos de cáncer perciben la enfermedad como más sintomática y
muestran representaciones emocionales más fuertes ligadas a la posibilidad de
enfermar ellos mismos de cáncer. Estos resultados parecen mostrar unas
percepciones más negativas del cáncer relacionadas con la experiencia con la
enfermedad que podrían relacionarse con la percepción de manera directa de los
efectos y consecuencias que la enfermedad implica para las personas que la padecen.
Además, confirman parcialmente nuestra hipótesis de partida, ya que hubiera sido
esperable, en la línea de una percepción de la enfermedad como más severa y con
mayor impacto, que se hubieran encontrado también diferencias significativas para la
dimensión de consecuencias. Godoy-Izquierdo, López-Chicheri et al. (2007) hallaron,
sin embargo, una influencia de la experiencia familiar con la enfermedad diferente a la
encontrada en nuestro estudio, que mostró que los participantes que convivían o
habían convivido con un enfermo poseían creencias más positivas en identidad,
duración, evolución, consecuencias, control personal y por tratamiento. No obstante,
ese estudio incluía un amplio número de enfermedades tanto físicas como mentales y
la experiencia familiar con la enfermedad fue valorada de forma global para el conjunto
de alteraciones, lo que podría explicar las diferencias con nuestros resultados. En el
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caso concreto del cáncer, Wang et al. (2010) hallaron también diferencias en población
sana relacionadas con la experiencia para la dimensión de causas, aspecto que no se
ha confirmado en nuestro estudio.
Si nos centramos en el estudio 2 de esta Tesis Doctoral, éste se ha desarrollado
con el objetivo de explorar el componente emocional de las representaciones del
cáncer en población sana, dada la escasez de estudios en ese ámbito y la importancia
de las reacciones emocionales en las conductas de afrontamiento de riesgos y
prevención de la enfermedad. En segundo lugar, este estudio ha ido dirigido a
confirmar la relación postulada por el SRM entre las diferentes dimensiones que
conforman las representaciones acerca de la enfermedad, en este caso del cáncer, y
especialmente la existente entre representaciones emocionales y cognitivas.
Con respecto a estos objetivos, nuestros hallazgos han puesto de manifiesto que
las personas que no padecen ni han padecido cáncer muestran reacciones
emocionales de miedo, tristeza o preocupación entre moderadas y altas cuando
consideran la posibilidad de sufrir esta enfermedad en cualquiera de sus variantes.
Estos resultados pueden ser considerados como similares, aunque un poco más altos,
a los obtenidos en otros estudios con población sana que incluían todos los tipos de
cáncer (Figueiras y Alves, 2007), cáncer de cuello de útero (De Castro et al., 2015) y
colorrectal (Orbell et al., 2008). Sin embargo, los resultados de otros estudios con
enfermos de cáncer (e.g., Cameron, 2005; Hoogerwert et al., 2012; Hopman y Rikjen,
2015; Trask et al., 2008) y su comparación con las representaciones emocionales de
la población sana han puesto de manifiesto que padecer la enfermedad lleva a una
disminución o atenuación de las reacciones emocionales negativas. Por otro lado, los
estudios realizados con población de riesgo (De Castro et al., 2015; Hevey et al., 2007;
Lancastle et al., 2011; Van Oostrom et al., 2007c) han mostrado representaciones
emocionales más fuertes que las de los pacientes y muy similares a las de la
población general, lo que parece indicar que el malestar emocional puede ir
evolucionando a lo largo de todo el proceso de la enfermedad, siendo más intenso
cuando aún no se padece o se percibe un riesgo real de sufrir cáncer y atenuándose
después del diagnóstico y durante el tratamiento (e.g., Bárez, Blasco, Fernández-
Catro y Viladrich, 2009; Lam et al., 2013) debido probablemente a una mayor
adaptación a la situación y a que los esfuerzos de la persona se concentran en el
proceso de reinterpretación de su situación, afrontamiento de la enfermedad y
recuperación de la salud.
En cuanto al segundo de los objetivos, es decir, comprobar si, tal y como propone
el SRM y nuestra hipótesis de partida, existe una estrecha relación entre los
componentes cognitivos y emocionales de las representaciones de enfermedad, de
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modo que los aspectos cognitivos posean capacidad predictiva sobre los emocionales,
los resultados de este estudio avalan dicha propuesta. En concreto, nuestros hallazgos
han puesto de manifiesto una relación directa entre las dimensiones de identidad,
consecuencias y etiología y el malestar emocional asociado al cáncer en población
sana, e inversa entre la dimensión de duración y esas representaciones emocionales.
Es importante destacar como otro hallazgo de este estudio que la relación entre
aspectos cognitivos y malestar emocional se vio moderada por el efecto de la edad y
la experiencia familiar con la enfermedad. En este sentido, se ha hallado que las
representaciones cognitivas son el factor que explica en mayor medida el malestar
emocional relacionado con el cáncer, mientras que el efecto de la edad y la
experiencia familiar es más modesto. De este modo, la población sana que posee una
percepción del cáncer en general como de menor duración, asociado a un mayor
número de síntomas y consecuencias más graves para pacientes y cuidadores y que
considera que es provocado por factores incontrolables como la edad o la herencia y
que además posee una mayor edad y experiencia familiar con la enfermedad
experimentará reacciones emocionales más fuertes y negativas. Este papel moderador
de la edad y la experiencia familiar en el papel predictivo de las representaciones
cognitivas acerca del cáncer sobre las representaciones emocionales no ha sido
mostrado por ningún otro estudio, lo que convierte al estudio 2 de esta Tesis Doctoral
en pionero en ese sentido.
Nuestros resultados apoyan parcialmente los de otros estudios que muestran la
influencia de las representaciones cognitivas en el malestar emocional en cáncer. En
el estudio de Figueiras y Alves (2007), desarrollado con población sana acerca del
cáncer de piel (entre otras enfermedades), las representaciones emocionales de los
participantes correlacionaban de manera positiva con las dimensiones de identidad,
duración, evolución, consecuencias y coherencia, mientras que lo hacían de forma
negativa con las de control personal y por tratamiento, no encontrándose correlación
alguna con las atribuciones de factores causales psicosociales y de riesgo. Con
respecto a los estudios realizados con pacientes (e.g., Lancastle et al., 2011;
Gercovich et al., 2012) se ha comprobado, que al igual que en el nuestro, las
representaciones emocionales correlacionaban de manera directa con las dimensiones
de consecuencias y causas de carácter no controlable (Lancastle et al., 2011) y con
estas dimensiones y también la de identidad (Gercovich et al., 2012). Sin embargo,
estos estudios han hallado una mayor influencia de las representaciones cognitivas en
el malestar emocional, especialmente el de Gercovich et al. (2012), mientras que
Hagger y Orbell (2005) encontraron en mujeres con cáncer de cabeza y cuello que su
malestar emocional correlacionaba con todas las dimensiones excepto la de control
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personal: de manera directa con identidad, duración, consecuencias y causas e
indirecta con las de control por tratamiento y coherencia.
Un aspecto que podría ir en contra de la lógica es la relación inversa entre las
dimensiones de duración y representaciones emocionales halladas en nuestro estudio,
aunque algunos estudios con enfermos de cáncer han encontrado resultados similares
(Millar et al., 2005). Esta relación podría ser explicada por la percepción de que una
duración excesivamente corta de una enfermedad como el cáncer podría ser asociada
con un fatal desenlace, lo que llevaría un malestar emocional más intenso.
Los resultados de este estudio apoyan de forma clara la relación propuesta por el
SRM entre las dimensiones que conforman las representaciones de enfermedad, en
este caso en cáncer, en concreto la interdependencia entre las representaciones
emocionales y cognitivas, y subrayan el valor predictivo de estas últimas sobre el
malestar emocional.
Por otro lado, de acuerdo con el SRM, las representaciones sobre la enfermedad
en general, y específicamente las de carácter emocional, van a ejercer una notable
influencia en la adopción de comportamientos preventivos (Leventhal et al., 2001) y en
el caso del cáncer diferentes estudios con población sana y en riesgo han mostrado
que las creencias que construimos sobre esta enfermedad van a determinar nuestros
esfuerzos por prevenir su aparición (e.g., Cameron, 2008; Constanzo et al., 2010;
Figueiras y Alves, 2007; Orbell, Hagger, Brown y Tidy, 2006; Orbell et al., 2008; Trask
et al, 2008), aunque otros estudios parecen señalar resultados contradictorios (De
Castro et al., 2015; Hevey et al., 2007). En este sentido, distintos estudios en el ámbito
de la prevención de la enfermedad han destacado el papel que los aspectos
emocionales, por encima de otros de carácter cognitivo, van a jugar para la puesta en
marcha de acciones de evitación de riesgos y prevención del desarrollo de
enfermedades (e.g., Cameron et al., 2005; Decruyenaere et al., 2000; Orbell et al.,
2008), aunque dicha influencia parece estar mediada por otras dimensiones como la
de control personal y puede depender del tipo de comportamiento preventivo
(Decruyenaere et al., 2000). En cualquier caso, parece claro que conocer y actuar
sobre el malestar emocional relacionado con una enfermedad, en este caso el cáncer,
va a jugar un papel clave en las posibilidades de prevención primaria de la misma con
población sana. Nuevamente y dado que se ha demostrado que la experiencia con la
enfermedad modera esta interdependencia entre representaciones cognitivas y
emocionales, podría ser adecuado contar con la visión de familiares y cuidadores de
enfermos de cáncer a la hora de diseñar e implementar acciones en prevención
primaria.
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Como conclusión, en relación a los dos estudios desarrollados con respecto a las
representaciones del cáncer en población que no padece ni ha padecido la
enfermedad, nuestros hallazgos parecen confirmar los postulados básicos del SRM
que han sido explorados, así como en general nuestras hipótesis de partida, aunque
alguna de ellas tan sólo parcialmente.
El resto de estudios que forman parte de esta Tesis Doctoral han estudiado las
representaciones laicas o no especializadas de la hipertensión. El estudio 3, que
puede ser considerado, junto con el estudio 1 sobre cáncer, como la base sobre la que
se asientan y desarrollan el resto de investigaciones, ha ido dirigido a conocer y
comparar las representaciones cognitivas y emocionales sobre la hipertensión en
población española sana y la posible influencia en esas representaciones, de variables
como el género, la edad, el nivel educativo y la experiencia familiar derivada del hecho
de convivir o haber convivido con un enfermo de hipertensión. Los resultados han
puesto de manifiesto que las representaciones que la población sana construye acerca
de la hipertensión son una combinación de conocimiento médico-biológico, y por tanto
correctas y ajustadas, y de otras creencias más alejadas de este conocimiento y de
tipo popular y cultural. Estos resultados serían similares a los obtenidos en otros
estudios sobre hipertensión con población sana (Meyer et al., 1985; Wilson et al.,
2002) y en el único que a nuestro conocimiento se ha realizado con población
española sana (Godoy-Izquierdo, López-Chicheri et al., 2007). También coinciden en
gran medida con los resultados de otros estudios realizados con pacientes (e.g.,
Bazán et al., 2013; Beléndez et al., 2005; Chen et al., 2009, 2011; Figueiras et al.,
2010; Heckler et al., 2008; Hsiao et al., 2012; Norfazilah et al., 2013; Pickett et al.,
2014; Ross et al., 2004).
En relación a los contenidos de esas representaciones en nuestro estudio,
encontramos que, en general, la enfermedad era percibida como sintomática, lo que
contradice la ausencia de síntomas en esta alteración al menos hasta que se
encuentra muy avanzada. Los participantes indicaron en este sentido una media de
cinco síntomas como manifestaciones de la alteración, entre los que destacaban la
presencia de fatiga, cansancio, taquicardia, mareos o vértigo. Resulta llamativo, por
ejemplo, que casi la mitad de los participantes consideraran las alteraciones del estado
de ánimo como síntomas de la hipertensión, lo que podría indicar una confusión entre
posibles causas y consecuencias o manifestaciones de la misma. La hipertensión fue
considerada también como una enfermedad estable en su evolución, duradera en el
tiempo y asociada a un impacto moderado para la vida de los pacientes, pero no para
sus cuidadores o familiares. En cuanto a las posibilidades de control de su desarrollo y
evolución, los participantes mostraron una elevada confianza tanto en la capacidad
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para ello del propio paciente como en la eficacia de los tratamientos actualmente
disponibles. Las representaciones de coherencia de la enfermedad indicaron que la
mitad de los participantes tenía dudas acerca de las características de este problema.
En relación a las representaciones de carácter emocional, encontramos que los
participantes no mostraban fuertes sentimientos de preocupación, miedo, tristeza o
ansiedad cuando afrontaban la posibilidad de sufrir hipertensión, pese a ser una de las
principales causas de morbi- y mortalidad en la actualidad. Finalmente, los
participantes señalaron como factores etiológicos fundamentales aspectos
comportamentales (e.g., hábitos de alimentación o consumo de alcohol o tabaco) y
psicológicos (e.g., estrés) pero también de carácter incontrolables (e.g., herencia o
edad). Aunque estos resultados son similares en muchos aspectos a los obtenidos en
el otro estudio que, a nuestro conocimiento, ha sido realizado con población española
sana (Godoy-Izquierdo, López-Chicheri et al., 2007), existen algunas diferencias, como
que los participantes de nuestro estudio percibían la enfermedad como sintomática,
cosa que en el caso del citado estudio no ocurrió, quizás por la composición de la
muestra o la medida utilizada. Del mismo modo, la hipertensión era percibida como
más impredecible y cambiante en dicho estudio.
En este tercer estudio, se ha puesto también de manifiesto, tal y como habíamos
hipotetizado, que variables como el sexo, la edad o el nivel educativo ejercen una
influencia modesta en las representaciones cognitivas y emocionales sobre la
hipertensión, al igual que ocurrió con los resultados del estudio 1 de esta Tesis
Doctoral realizado con cáncer. Aún así, hemos hallado algunas diferencias
relacionadas con estas variables, en concreto con el sexo y el nivel educativo.
Específicamente, nuestros resultados indican que los hombres perciben
consecuencias más graves asociadas a padecer hipertensión y, tal y como cabría
esperar, mayores niveles de educación formal se van a relacionar de algún modo con
representaciones más ajustadas y correctas, aunque sólo se han hallado diferencias
significativas para las dimensiones de duración y control por tratamiento.
Sin embargo, la experiencia familiar con la enfermedad, entendida en términos de
convivir o haber convivido con una persona hipertensa, se ha revelado como una
importante influencia en las representaciones cognitivas y emocionales de la
hipertensión, al igual que ha ocurrido en el caso del cáncer en el estudio 1 de esta
Tesis Doctoral, de modo que encontramos que aquellos adultos normotensos
españoles con experiencia familiar perciben la hipertensión como más controlable
tanto por el paciente como a través del tratamiento, más impredecible y cambiante en
su curso y muestran menores niveles de emociones negativas cuando se enfrentan a
la posibilidad de padecerla. Es decir, la experiencia indirecta parece en este caso
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relacionarse con representaciones más positivas, en contra de lo que habíamos
hipotetizado. No obstante, la experiencia familiar predijo de forma directa las
puntuaciones globales en el IPQ-R. Sin embargo, de nuevo hubiera sido esperable
que otras dimensiones como consecuencias o identidad, que determinan las
percepciones de impacto y severidad de una alteración, hubiesen mostrado diferencias
significativas derivadas de esa experiencia. Esta influencia de la experiencia con la
enfermedad apoyaría la propuesta del SRM de que la experiencia jugaría un papel
clave en la construcción o modificación de nuestras representaciones cognitivas y
emocionales sobre una enfermedad, tal y como argumentamos en el capítulo 3 de la
Introducción general. Este papel relevante de la experiencia ha sido demostrado en
numerosos estudios (e.g., Anagnostopoulos y Spanea, 2005; Buick y Petrie, 2002;
Dempster et al., 2001b; Juth et al., 2015; Lykins et al., 2008; Orbell et al., 2008), así
como en el estudio de Godoy-Izquierdo, López-Chicheri et al. (2014) realizado con
población española sana, aunque, como ya hemos comentado anteriormente, la
influencia de la experiencia en dicho estudio fue valorada para un conjunto amplio de
enfermedades, lo que limita la posibilidad de hacer comparaciones con nuestros
resultados.
El estudio 4 de esta Tesis Doctoral está formado a su vez por dos estudios. Los
objetivos del primero de ellos han ido dirigidos a confirmar los resultados del estudio 3,
pero superando algunas de las limitaciones del anterior con una muestra más amplia y
heterogénea. Los hallazgos de este primer estudio han puesto de manifiesto que, tal y
como muestra la investigación sobre modelos de enfermedad en diversas alteraciones
físicas (e.g., Anagnostopoulos y Spanea, 2005; Karasz, McKee y Roybal, 2003; Meyer
et al.,1985; Rees et al.,2004; Ross et al., 2004; Wilson et al.,2007), así como los
estudios realizados en población hipertensa (e.g., Bazán et al., 2013; Beléndez et al.,
2005; Chen et al., 2009, 2011; Figueiras et al., 2010; Heckler et al., 2008; Hsiao et al.,
2012; Norfazilah et al., 2013; Pickett et al., 2014; Ross et al., 2004) y sana en
hipertensión (Meyer et al., 1985; Wilson et al., 2002), entre los que se incluyen los
escasos estudios realizados en población española (Del Castillo et al., 2013; Godoy-
Izquierdo, López-Chicheri et al., 2007), las representaciones construidas por la
población normotensa española acerca de la hipertensión son una mezcla de aspectos
biomédicos objetivos, y otros laicos de tipo cultural o popular.
En este sentido y a grandes rasgos, la hipertensión es percibida como
sintomática, cíclica y de larga duración, con un impacto significativo para la vida de las
personas que la sufren. Además, la población sana española considera esta
enfermedad como asociada a importantes posibilidades de control tanto por parte de la
persona enferma como a través de los tratamientos disponibles y manifiestan tener
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una buena comprensión de la hipertensión por su parte. En cuanto a la etiología de
este “asesino silente”, los participantes en el estudio señalaron como las causas más
importantes factores relacionados con aspectos personales, de comportamiento o
estilo de vida (e.g., dieta, tabaco, alcohol) así como factores de tipo psicosocial (e.g.,
estrés y preocupaciones), pero también consideraron que en la génesis de esta
enfermedad influyen otros factores incontrolables como la herencia o la edad.
Finalmente, si dirigimos nuestra atención a las representaciones emocionales es
necesario destacar que éstas no son especialmente altas, ya que la posibilidad de
sufrir hipertensión no provoca en la población española normotensa importantes
sentimientos de tristeza, ansiedad o preocupación. Estos hallazgos son similares a los
obtenidos por Godoy-Izquierdo, López-Chicheri et al. (2007) con población española,
aunque como diferencia más importante se podría subrayar que en nuestro estudio la
hipertensión es considerada como sintomática, cosa que no ocurre ese estudio
realizado con población española y que contradice el carácter asintomático de esta
alteración, al menos hasta estadíos muy avanzados. Esta percepción de la presencia
de sintomatología en la enfermedad mostraría de algún modo la necesidad que
tenemos de experimentar señales o signos que nos indiquen la presencia de una
enfermedad. Con respecto a las posibles diferencias con el estudio 3 de esta Tesis
Doctoral, en el estudio 4 se ha hallado que la hipertensión es percibida como más
duradera y asociada a mayores y más graves consecuencias así como más cíclica y
cambiante. Por otro lado, los participantes de este cuarto estudio otorgan mayor
importancia a factores de tipo comportamental en la génesis del problema y
manifiestan poseer una mejor comprensión de la enfermedad.
En cuanto a la influencia de variables sociodemográficas en esas
representaciones, nuestros hallazgos han mostrado que variables como el género o la
edad ejercen escasa influencia en las creencias de la población española sana acerca
de la hipertensión, mientras que el estatus socioeconómico y, sobre todo, la
experiencia con la enfermedad determinan de algún modo la construcción o
modificación de esas representaciones. En este sentido, los hallazgos de este estudio
muestran que los participantes con un mayor estatus socioeconómico (entendido como
la combinación de nivel educativo, situación laboral y nivel de ingresos) y mayor
experiencia familiar con la enfermedad mostraban percepciones más positivas sobre la
hipertensión, contradiciendo nuestra hipótesis de partida, señalando de algún modo
que estos factores llevan a la población sana a tener percepciones de menor
severidad de la enfermedad y a ser más optimista sobre esta alteración. Así, ésta era
considerada como menos grave y duradera, con consecuencias poco severas para la
vida de los pacientes y mayores posibilidades de control tanto personal como por
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tratamiento. En este sentido, habría sido deseable haber explorado la influencia del
estatus socioeconómico en el caso del cáncer, aunque por motivos de organización de
esta Tesis Doctoral y orden en la realización de los estudios no ha sido posible. Por
ello, sería recomendable realizar investigaciones en el futuro que traten de replicar
este resultado considerando estas variables sociodemográficas de forma conjunta,
puesto que además la literatura tiende a explorarlas de manera separada, si bien se
trata de variables que se relacionan estrechamente y tienen un impacto importante en
otras variables relacionadas con la salud. Los resultados del estudio 3 de esta Tesis
Doctoral también muestran una influencia de la experiencia en el sentido de
relacionarse con percepciones más positivas sobre la hipertensión. Otros estudios con
población no española han mostrado la influencia de factores económicos o de
ingresos en las representaciones acerca de la hipertensión (Pérez, 2014) y
especialmente de la experiencia familiar tanto con pacientes hipertensos (Norfazilah et
al., 2013) como con población normotensa (Godoy-Izquierdo, López-Chicheri et al.,
2007; Lin y Hiedrich, 2012).
La influencia demostrada que la experiencia con la enfermedad posee en la
construcción y modificación de las representaciones cognitivas y emocionales así
como el papel moderador de la misma en la interdependencia entre ambos tipos de
representaciones podría poseer un carácter aplicado para la Psicología de la Salud y
las administraciones públicas en el ámbito de la promoción de la salud y la prevención
de la enfermedad es la posible colaboración de personas con experiencia familiar, y su
conocimiento sobre la enfermedad con la que han convivido a la hora de diseñar e
implementar actuaciones preventivas dirigidas a la población general. Su experiencia
podría ser de gran ayuda para mostrar a las personas sanas que no han convivido
nunca con un enfermo que padezca dicha alteración en qué consiste la enfermedad
desde la perspectiva de un cuidador o familiar, ayudándoles de forma cercana y
directa a una mejor comprensión de cada trastorno y a modificar concepciones
erróneas.
En relación al segundo de los estudios que conforman el estudio 4, éste tenía
como objetivos los de explorar las asociaciones entre las representaciones cognitivas
y emocionales que sobre la hipertensión construye la población sana y las
percepciones de los riesgos asociados a padecer hipertensión, así como la percepción
de la eficacia de llevar a cabo cambios en el estilo de vida para evitar esos riesgos y
prevenir el desarrollo de esta enfermedad y la introducción real de modificaciones en
el estilo de vida a través de la práctica de conductas concretas de prevención de la
hipertensión. Se trataba, por tanto, de explorar la relación existente entre las
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representaciones de enfermedad y las respuestas de afrontamiento que el SRM
postula.
Los hallazgos de este estudio muestran de forma clara que la población sana
española es consciente de los serios problemas para la salud relacionados con una
elevada presión arterial, ya que casi el 95% de los participantes la considera un factor
de riesgo para el desarrollo de otras alteraciones y problemas. En este sentido, los
problemas de salud señalados por los participantes con mayor frecuencia son las
alteraciones cardiovasculares, pudiéndose considerar éstas como el conjunto de
enfermedades “prototipo” de las provocadas por una elevada presión arterial. Sin
embargo, otros problemas como la insuficiencia renal o problemas visuales son
percibidos como originados por la hipertensión por tan sólo una cuarta parte de los
participantes, lo que muestra que en la conciencia colectiva hay un grupo de
enfermedades, las cardiovasculares, que son las que tradicionalmente se han
asociado a la hipertensión y que continúan formando parte de manera clara de las
percepciones de riesgo elicitadas por la población sana. En el otro extremo, nuestros
hallazgos también destacan representaciones del riesgo para la salud relacionado con
la hipertensión muy alejadas del conocimiento médico-biológico, como la
consideración de que el estrés puede ser provocado por esta enfermedad, en una
posible confusión de causas y consecuencias de la enfermedad, o la percepción de
que la hipertensión puede conducir a otras enfermedades de tipo cardio-metabólico
como hipercolesterolemia, diabetes u obesidad, problemas con los que se asocia
frecuentemente la hipertensión pero que no son causados por ésta. Finalmente, entre
1 y 3 participantes de cada 10 también han considerado otras enfermedades que no
tienen relación alguna con la hipertensión como provocadas por ésta. Estos hallazgos
muestran, por tanto, un desconocimiento parcial por parte de la población sana de
cuáles son los riesgos para la salud asociados a una elevada presión arterial y
deberían llevar a las administraciones públicas y organismos relacionados con la salud
a plantearse la necesidad de una adecuada educación a la población no paciente
dentro de las políticas de promoción de la salud y prevención de la enfermedad. Estos
resultados vuelven, por tanto, a mostrar cómo en las representaciones acerca de los
riesgos relacionados con la hipertensión existe una combinación de conocimiento
objetivo de tipo biomédico y aspectos culturales y populares. Nuestros hallazgos
apoyan parcialmente los de otros estudios que han explorado las percepciones sobre
los riesgos asociados a una elevada presión arterial en población sana en minorías
étnicas y que mostrarían la influencia de aspectos culturales y sociales (Aroian et al.,
2012; Newell et al., 2009; Savoca et al., 2009).
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Una vez conocidas las representaciones la enfermedad y las percepciones de
riesgo, el siguiente objetivo fue explorar las posibilidades de prevención de la
enfermedad y el desarrollo de conductas para evitar su aparición en esta población. En
relación a ello, nuestros hallazgos han mostrado que los participantes en este estudio
consideran la enfermedad como prevenible en una altísima proporción, y que los
comportamientos preventivos propuestos eran de utilidad, de moderada a alta en la
mayor parte de los casos, para reducir eficazmente la probabilidad de desarrollar
hipertensión. En este sentido, es significativo que ninguno de los participantes
mostraran una total falta de confianza en las posibilidades de prevenir la enfermedad
introduciendo cambios en su estilo de vida.
De acuerdo con otros estudios realizados con minorías étnicas (Aroian et al.,
2012; Newell et al., 2009; Peters et al., 2006), las acciones percibidas por los
participantes como más exitosas en la prevención de la hipertensión fueron introducir
cambios en la dieta, realizar actividad física, reducir el consumo de alcohol y tabaco y
controlar el estrés y las emociones negativas. Teniendo en cuenta estos resultados,
por un lado la alta conciencia de los riesgos asociados a la hipertensión y por otro la
elevada estimación de la posibilidad de prevención de esta enfermedad a través de la
realización de cambios concretos en el estilo de vida, podríamos suponer que la
población sana va a realizar acciones en su vida diaria dirigidas a minimizar la posible
aparición de la hipertensión como un modo de evitar toda una serie de importantes
riesgos asociados. Sin embargo, los resultados no pueden ser más desconcertantes.
En este sentido, era esperable que estas percepciones se tradujeran en un alto
porcentaje de los participantes en una elevada práctica de conductas preventivas, pero
los resultados han mostrado que el número de adultos españoles sanos que llevaba a
cabo esas acciones para reducir la probabilidad de desarrollar la enfermedad era
considerablemente bajo. Así por ejemplo, más del 4% no realizaban ninguna de las 15
conductas propuestas y un 38% habían introducido menos de 5 de esos cambios en
su vida diaria, mostrando por tanto una falta de coherencia entre sus representaciones
mentales y sus conductas. Aunque hubiera sido deseable hallar otros resultados
acerca de esta importante cuestión, esta incongruencia entre representaciones y
conductas preventivas en hipertensión ha sido señalada anteriormente por otros
estudios (Aroian et al., 2012; Newell et al., 2009; Peters at al., 2006; Savoca et al.,
2009). Quizás la percepción de escasas posibilidades reales de desarrollar la
enfermedad unida a la baja edad media de los participantes, ya que el envejecimiento
es considerado como una de las principales causas de la hipertensión, explique de
algún modo estos resultados. En cualquier caso, estos hallazgos ponen de manifiesto
la necesidad de emprender acciones que incidiendo sobre las representaciones que la
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población sana construye sobre los riesgos asociados a esta enfermedad y las
posibilidades de prevención incrementen la puesta en marcha de cambios reales en su
estilo de vida. Se trataría, por tanto, de lograr movilizar a la población sana para que
sean capaces de avanzar de representaciones relacionadas con la eficacia de las
conductas preventivas a otras de necesidad de esas conductas. Por ello,
consideramos que este estudio es muy revelador y arroja luz sobre la importante
cuestión de la prevención primaria de la hipertensión, de los aspectos que pueden
contribuir a la misma y de cómo intervenir para reducir el impacto de esta enfermedad.
Este estudio también ha puesto de manifiesto la presencia de numerosas e
importantes asociaciones entre las variables psicosociales que forman parte del
mismo. En primer lugar, se ha hallado que las representaciones acerca de la
hipertensión se relacionan tanto con la percepción de riesgos como con la percepción
y práctica de conductas preventivas, revelándose como predictores significativos de
algunas de las variables comportamentales incluidas en este estudio, lo cual apoyaría
de forma clara la propuesta del SRM en ese sentido y, en concreto, la relación entre
representaciones de enfermedad y desarrollo de conductas de prevención, puesta de
manifiesto por diferentes estudios (e.g., Cameron, 2008; Constanzo et al., 2010;
Figueiras y Alves, 2007; Orbell, Hagger, Brown y Tidy, 2006; Orbell et al., 2008; Trask
et al, 2008), aunque otros hayan encontrado resultados contradictorios (De Castro et
al., 2015; Hevey et al., 2007). Así, nuestros hallazgos han mostrado que todas las
dimensiones que conforman, de acuerdo con el SRM, las representaciones
emocionales y cognitivas de enfermedad, con la excepción de duración y evolución, se
relacionaban con las percepciones de riesgos asociados a la hipertensión y el número
de problemas de salud que podrían derivarse de la misma; y, con la excepción de las
percepciones de control por tratamiento, el resto de dimensiones correlacionan con la
percepción y práctica de conductas preventivas. Es necesario destacar que la
percepción de la hipertensión como más sintomática y con mayor impacto en la vida
diaria de los pacientes se relacionaba con una mayor conciencia sobre los riesgos que
una elevada presión arterial conlleva para la salud, mayor confianza en la posibilidad
de prevenir la hipertensión introduciendo cambios en el estilo de vida y una puesta en
práctica de esas conductas con mayor frecuencia para prevenir la enfermedad. Las
percepciones de control personal mostraron también una importante relación con estas
variables, ya que una mayor percepción de control por parte del propio individuo sobre
la hipertensión se relacionaba con una mayor conciencia de los riesgos así como de
las posibilidades de prevención. Por otro lado, la percepción de la hipertensión como
menos cíclica lleva a considerar los comportamientos preventivos como más efectivos
y, como sería de esperar, a una mayor práctica de los mismos en la vida diaria para
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evitar el desarrollo de la enfermedad. En relación a la coherencia, los adultos
españoles sanos que creen poseer una comprensión de lo que esta enfermedad
significa menos clara ponen en práctica en su vida diaria un mayor número de
conductas para prevenir la hipertensión. En cuanto a los componentes emocionales de
las representaciones sobre la hipertensión, los participantes que mostraban mayores
sentimientos de preocupación, tristeza o ansiedad ante la posibilidad de sufrir
hipertensión percibían mayor número de amenazas para la salud asociadas a la
hipertensión, mayores posibilidades de prevenirla y ponían en práctica
comportamientos preventivos en mayor medida.
Por otro lado, también se ha encontrado una relación entre las percepciones de
riesgo y la percepción y práctica de conductas preventivas, de modo que aquellos
participantes que consideran la hipertensión como un factor de riesgo en sí misma
llevan a cabo una mayor práctica de conductas preventivas, mientras que la
percepción de un mayor número de amenazas para la salud asociadas a una elevada
presión arterial se relaciona con una mayor percepción de la posibilidad de prevenir la
enfermedad introduciendo cambios en el estilo de vida y una mayor práctica de las
mismos. Además, los participantes que percibían mayores posibilidades de prevenir la
hipertensión a través de determinados comportamientos también los realizaban en
mayor medida. En este sentido, los resultados de este estudio confirman nuestra
hipótesis de partida de que representaciones más negativas van a estar relacionadas
con una mayor percepción de riesgos y una mayor eficacia percibida de los
comportamientos preventivos, así como con una mayor introducción de cambios en el
estilo de vida como un modo de prevenir la enfermedad. Sin embargo, otras
representaciones de carácter positivo como una elevada percepción de controlabilidad,
una buena comprensión de lo que la enfermedad significa así como la percepción de
la alteración como más estable van a ejercer una influencia en esos aspectos,
mostrando que las representaciones relacionadas con la prevención de la hipertensión
requieren de una combinación de creencias que enfaticen la severidad y el impacto de
la enfermedad pero también las posibilidades de hacerle frente y obtener resultados
positivos.
Finalmente, nuestros hallazgos han mostrado también una influencia de variables
sociodemográficas. Así la edad, el sexo y la experiencia familiar con la enfermedad
parecen ejercer una influencia en estas variables comportamentales. En este sentido,
las mujeres y los participantes más jóvenes se han mostrado más conscientes de los
riesgos ligados a la hipertensión y de la prevención de la misma. Los más jóvenes
consideraban un mayor número de riesgos ligados a la hipertensión, y tanto las
mujeres como estos últimos perciben mayores posibilidades de prevenirla, aunque son
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las primeras las que más conductas preventivas introducen en su vida cotidiana. En
cuanto al papel de la experiencia familiar, nuestros hallazgos han mostrado que los
adultos españoles sanos que conviven o han convivido con un/a paciente hipertenso/a
poseen también una mayor percepción de la enfermedad como un factor de riesgo
para importantes problemas de salud. De nuevo, la experiencia indirecta con la
enfermedad vuelve a mostrarse como un factor importante, en este caso relacionado
con aspectos comportamentales de evitación de riesgos y prevención, y, de nuevo,
estos participantes con experiencia familiar muestran representaciones más negativas
acerca del riesgo asociado a la misma, tal y como habíamos hipotetizado.
Estos resultados, apoyan de forma clara el postulado del SRM que señala la
existencia de una relación entre representaciones cognitivas y emocionales de
enfermedad y conductas de afrontamiento, en este caso conductas preventivas. Al
mismo tiempo, poseen un importante carácter aplicado, ya que ponen de manifiesto la
necesidad de llevar a cabo intervenciones psicoeducativas, que teniendo en cuenta las
representaciones acerca de la hipertensión y su influencia en las percepciones de
riesgo y las posibilidades de prevención, pero sobre todo el papel que éstas juegan en
la prevención real de la enfermedad por parte de la población general, maximicen la
realización de cambios en el estilo de vida que favorezcan una prevención primaria y
disminuyan la incidencia de la enfermedad.
El estudio 5, el último de los que componen esta Tesis Doctoral, tenía como
objetivo principal explorar la posibilidad de agrupar a la población sana española en
diferentes perfiles psicosociales multidimensionales de acuerdo con sus
representaciones emocionales y cognitivas acerca de la hipertensión y de otras
variables relevantes como la percepción de riesgos asociados a esta alteración o la
eficacia percibida de los cambios en el estilo de vida para prevenir dicha enfermedad.
En relación a este primer objetivo, en torno al cual se articula el quinto estudio,
nuestros hallazgos han puesto de manifiesto que la población sana puede ser dividida
de forma clara en tres perfiles o clusters de acuerdo con las variables anteriormente
comentadas. Esta posibilidad de separar en perfiles globales las representaciones de
enfermedad que permitan estudiar las creencias como un todo (i.e., esquemas de
enfermedad) y no de forma aislada e independiente, ya había sido demostrada
anteriormente con otras alteraciones utilizando el SRM (Charlier et al., 2012;
Crawshaw, Rimington, Weinman y Chilcot, 2015; Dempster et al., 2010; Harrison,
Kohlman y McCorry, 2014; Kaptein et al., 2010; Kohlman, Rimington y Weinman, 2012;
Letelier, Nuñez y Rey, 2011; Lin y Hiedrich, 2012; Lowe et al., 2012; McCorry et al.,
2013; Miglioretti, Mazzini, Oggioni, Testa y Monaco, 2008; Medley, Powell,
Worthington, Chohan y Jones, 2010; Skinner et al., 2011; Snell, Surgenor, Hay-Smith,
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Williman y Siergert, 2015), así como con pacientes hipertensos (Figueiras et al., 2010;
Hsiao et al., 2012), pero no se había explorado esa posibilidad con población sana en
hipertensión, por lo que nuestro estudio resulta pionero en ese campo.
Con respecto a los perfiles identificados, dos de ellos incluyen a población sana
con bajos niveles de conciencia y preocupación sobre los riesgos asociados a la
hipertensión y con unas representaciones poco ajustadas y correctas, aunque en el
segundo de ellos estos problemas en el ajuste de las representaciones y en las
percepciones cognitivas y emocionales asociadas a los riesgos de padecer
hipertensión adquieren tintes casi dramáticos. En general, los participantes incluidos
en los perfiles de baja conciencia y preocupación (48.8% de la muestra) y muy baja
conciencia y preocupación (5.4% de la muestra) perciben la hipertensión como
escasamente sintomática, con poco impacto en la vida de los pacientes, muestran
moderada confianza en las posibilidades de control por parte del enfermo y los
tratamientos y exhiben un comprensión percibida de la enfermedad que va de
moderada a baja. Con respecto a las causas, incluyen tanto aspectos
comportamentales, como psicológicos e incontrolables, mostrando importantes dudas
acerca de su etiología. Ante la posibilidad de padecer hipertensión no manifiestan
sentimientos especialmente negativos y, aunque creen que puede provocar problemas
serios de salud, muestran dudas sobre cuáles pueden ser esos riesgos. Además,
manifiestan baja confianza en las posibilidades de prevenir la enfermedad a través de
cambios en el estilo de vida. El perfil de muy baja conciencia y preocupación se
diferenciaría básicamente del otro en la existencia de percepciones más bajas de
controlabilidad por parte del paciente y de los tratamientos y menor percepción de
riesgos asociados, así como en una comprensión más pobre de lo que la enfermedad
significa y mayor atribución de la misma a factores psicosociales e incontrolables.
En el otro extremo se situaría el tercer perfil, que incluiría al 45.9% de los
participantes y que mostrarían una elevada conciencia y preocupación sobre la
hipertensión. Estos adultos sanos mantendrían creencias más ajustadas y correctas
sobre este problema, sus riesgos asociados y la probabilidad de evitar su desarrollo a
través de comportamientos de prevención. En general, consideran la enfermedad
como sintomática, de larga duración, con un importante impacto para la vida de los
pacientes, muestran elevada confianza en las posibilidades de control por parte del
propio paciente hipertenso, sentimientos de preocupación, ansiedad, tristeza o miedo
ante la posibilidad de padecerla y atribuyen su génesis a factores de tipo
comportamental o psicosocial y, por tanto, controlables. Aunque poseen una
percepción de la peligrosidad de la hipertensión más fuerte que los miembros de los
otros dos perfiles, los participantes incluidos en este cluster se muestran al mismo
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tiempo más optimistas sobre la posibilidad de controlarla mediante cambios en su
estilo de vida.
Este estudio 5 ha ido dirigido también a explorar la posible relación entre los
perfiles globales de representaciones acerca de la hipertensión, los riesgos asociados
a ella y las posibilidades percibidas de prevención a través de la introducción de
cambios en el estilo de vida y una variable fundamental en el caso de esta enfermedad
y la población sana, como es la práctica de conductas preventivas en la vida cotidiana
de los participantes. Esta cuestión tampoco ha sido previamente estudiada en
población sana, aunque en pacientes hipertensos dos estudios (Figueiras et al., 2010;
Hsiao et al., 2010) han mostrado la posibilidad de establecer relaciones entre
diferentes perfiles y variables conductuales como la elección de un determinado tipo
de fármaco o la adherencia a los tratamientos farmacológicos. En este sentido, los
hallazgos de este estudio han puesto de manifiesto que, tal y como hipotetizamos, de
acuerdo con sus representaciones sobre la enfermedad, sus riesgos para la salud y la
eficacia de los comportamientos preventivos, los participantes que formaban parte del
perfil de alta conciencia y preocupación (cluster 3) mostraban una práctica de
comportamientos preventivos elevada, con niveles 1/3 por encima de la desviación
típica media, en comparación con los perfiles de baja y muy baja conciencia y
preocupación (clusters 1 y 2, respectivamente), mostrando este último unos niveles
que podrían considerarse casi dramáticos, casi 1 punto por debajo de la desviación
típica media, en la modificación de sus hábitos de vida para prevenir la aparición de la
hipertensión.
Es importante subrayar que los perfiles de baja y muy baja conciencia y
preocupación representarían a más de la mitad de los participantes (54.2%), aunque
afortunadamente el perfil de muy baja conciencia y preocupación sobre la hipertensión
y sus riesgos solo abarcaría a un 5% de la población española sana. Estas cifras
muestran de forma muy clara que una parte muy importante de las personas sanas
mantienen creencias poco ajustadas y realistas sobre la hipertensión, sobre los
riesgos que ésta implica y también sobre las posibilidades de prevención de la misma,
y en consecuencia no introducen cambios en su propio estilo de vida destinados a
prevenir la enfermedad, lo que podría suponer a todas luces un importante problema a
la hora de reducir la incidencia y el impacto de este problema en nuestro país y
requeriría de un importante esfuerzo por parte de las administraciones de salud
encaminado a la modificación de dichas representaciones disfuncionales si se desea
realmente que se produzca una adecuada prevención primaria.
Finalmente, el último objetivo del estudio 5 ha ido dirigido a explorar la existencia
de diferencias en los diferentes perfiles identificados relacionadas con variables
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sociodemográficas como el sexo, la edad, el estatus socioeconómico así como de la
experiencia familiar con la enfermedad. En este sentido, nuestros hallazgos han
mostrado diferencias con respecto al sexo, en concreto una mayor presencia de
hombres en el perfil 1, de baja conciencia y preocupación sobre la hipertensión, lo que
podría indicar que la población sana masculina tiene percepciones menos ajustadas
de la enfermedad y sus riesgos y una menor ejecución de comportamientos
preventivos. Por otro lado, se han hallado también diferencias relacionadas con el
estatus socioeconómico que, a grandes rasgos, irían en la línea de mostrar una menor
conciencia y preocupación sobre la hipertensión y sus riesgos, así como menos
confianza en las posibilidades de prevención de ésta, en personas sanas de estatus
socioeconómico más bajo, y una mayor preocupación sobre la enfermedad y sus
riesgos y representaciones más ajustadas y realistas en niveles medios de estatus
socioeconómico.
Por último, una vez controlado el efecto de las variables sociodemográficas, los
perfiles identificados han mostrado asimismo diferencias relacionadas con la
experiencia familiar con la hipertensión. Específicamente, los resultados señalan que
el perfil 2 (muy baja conciencia y preocupación) es aquel que incluye un menor
número de participantes con experiencia familiar con la enfermedad, lo que podría
indicar que la ausencia de experiencia en este caso ejerce un efecto inmunizador
contra la hipertensión que lleva a percibir la enfermedad y sus riesgos como menos
graves y preocupantes. Dicho de otra forma, parece que tener experiencia con la
enfermedad ayuda a construir percepciones de ésta más positivas y realistas, aunque
no necesariamente más ilusoriamente benignas.
Esta división de la población sana en diferentes perfiles psicosociales
multidimensionales de representaciones cognitivas y emocionales, así como también
de percepciones de riesgo y posibilidades de prevención, y la asociación demostrada
entre esos esquemas globales y la puesta en marcha de conductas preventivas nos
ofrece información muy valiosa de cara al desarrollo de intervenciones con población
general que favorezcan la prevención primaria de la hipertensión. Nuestros hallazgos
facilitan y maximizan las posibilidades de intervención al trabajar con esquemas
globales y no con dimensiones y variables independientes, lo que supone un
importante hallazgo dada la ausencia de estudios en esta dirección con población
sana en esta alteración.
A la luz de los resultados obtenidos en los diferentes estudios que forman parte de
esta Tesis Doctoral se podría decir que nuestras hipótesis de partida se verían
apoyadas casi en su totalidad, aunque parcialmente en algunos casos. No obstante,
de forma general se podría señalar que los postulados básicos del SRM se cumplen
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también en población sana y, por tanto, se puede afirmar de forma clara la
aplicabilidad del modelo en población no paciente con todas las consecuencias tanto
teóricas como prácticas que ello conllevaría.
12.2. Limitaciones y perspectivas futuras
Los estudios que conforman esta Tesis Doctoral presentan en conjunto algunas
limitaciones que deben ser comentadas y resueltas de manera conveniente en el
futuro.
Una de las principales limitaciones ha sido el reducido tamaño de las muestras
utilizadas, haciendo necesario de cara al futuro confirmar los resultados encontrados
con muestras de mayor tamaño, ya que el tamaño de la muestra en nuestros estudios
podría de algún modo limitar la potencia estadística de los análisis realizados. Otra
limitación, derivada de la anterior sería la posible falta de heterogeneidad y
representatividad de la muestra, ya que no se llevó a cabo un proceso de selección
previo de la misma y nuestros participantes fueron españoles adultos voluntarios
pertenecientes a las provincias de Granada y Jaén, y el único aspecto que se
consideró como criterio de exclusión fue el padecer o haber padecido en el pasado
alguna de las alteraciones objeto de estudio. Además existe una sobrerrepresentación
de población de adultos jóvenes, especialmente en algunos de los estudios. Por ello,
en el futuro sería recomendable tanto incrementar el número de participantes como
utilizar una muestra que sea representativa de la población general española.
En segundo lugar, y en relación aún con la muestra utilizada en estos estudios, es
necesario destacar que todos los participantes eran de nacionalidad española y, dado
que la literatura señala que los aspectos culturales podrían jugar un papel clave en la
construcción de las representaciones cognitivas y emocionales sobre la enfermedad
(Jonnalaggada et al., 2012; Norfazilah et al., 2013), esas posibles influencias deberían
ser exploradas realizando en el futuro investigaciones con ciudadanos de otros países
y culturas así como de otras razas o etnias que permitan generalizar los resultados
obtenidos en nuestros estudios más allá de nuestras fronteras.
En tercer lugar, las medidas utilizadas en esta investigación son todas
autoinformes, y aunque diferentes estudios realizados fundamentalmente con
encuestas nacionales sobre aspectos de salud han puesto de manifiesto que este tipo
de medidas son adecuadas (Lima-Costa, Peixoto y Firmo, 2004; Selem, Castro,
Galvao, Lobo y Fisberg, 2013; Van Eenwyk, Bensley, Ossiander y Krueger, 2012) y el
uso de medidas de autoinforme por parte de investigadores y especialistas en salud se
está viendo incrementado en los últimos tiempos (e.g., Estoppey, Paccaud,
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Vollenweider y Marques-Vidal, 2011; Kaplan, Huguet y Feeney, 2010; Pereira et al.,
2012; Pitsavos et al., 2006; Valderrama, Tong, Ayala y Keenan, 2008), sería adecuado
poder contar con otro tipo de medidas objetivas como pruebas médicas e informes
clínicos u observación conductual.
Por otro lado, los estudios que forman parte de esta Tesis Doctoral han sido
realizados con población sana aunque con distinto grado de experiencia familiar con el
cáncer y la hipertensión. Sin embargo, de cara al futuro sería recomendable
desarrollar estudios que incluyan a enfermos en diferentes estadíos, variantes de la
enfermedad (especialmente en cáncer) o aspectos clínicos así como a supervivientes
para valorar sus representaciones cognitivas y emocionales y conocer cómo esas
creencias cambian de acuerdo con la experiencia directa con la enfermedad y a lo
largo del curso de la misma.
En quinto lugar, y en relación con lo anterior, en nuestros estudios no se ha tenido
en cuenta el posible riesgo de desarrollar cáncer o hipertensión de los participantes ni
su percepción sobre ese riesgo. Por ello, en el futuro sería deseable al estudiar las
representaciones cognitivas y emocionales de enfermedad en población sana prestar
especial atención al riesgo de padecer una determinada enfermedad relacionado con
aspectos familiares, genéticos o comportamentales para comparar las
representaciones de población sana pero en riesgo con la de población sana que no lo
está.
En sexto lugar, otra posible limitación de nuestra investigación estaría relacionada
con el hecho de que no se ha estudiado la fuente de la que proceden las
representaciones sobre el cáncer y la hipertensión, ni tampoco ningún indicador
objetivo de su grado de corrección y ajuste. En este sentido, sería recomendable que
los estudios futuros sobre esta cuestión se desarrollasen también con profesionales de
la salud y especialistas para comparar sus representaciones cognitivas y emocionales
con las de la población sana, en riesgo y enferma.
Un aspecto muy importante, especialmente en el caso del cáncer es el apoyo
social y familiar. En nuestros estudios, dado que se han llevado a cabo con población
no enferma, no se han valorado las percepciones y creencias sobre la enfermedad de
cuidadores directos para compararlas con las de los propios enfermos, y por ello en el
futuro la investigación debería incluir a personas enfermas y sus cuidadores.
En séptimo lugar, la relación entre representaciones cognitivas y emocionales de
enfermedad y aspectos comportamentales como el afrontamiento de riesgos y el
desarrollo de conductas preventivas sólo ha sido explorada para el caso de la
hipertensión pero no en el del cáncer, por lo que de cara al futuro la investigación
debería explorar el papel de las representaciones sobre el cáncer en aspectos clave
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para la prevención como la percepción de las posibilidades de prevención, las
intenciones para realizar cambios conductuales y adoptar comportamientos
saludables, así como tratar de replicar nuestros resultados en hipertensión en
población sana española superando las limitaciones en la muestra ya comentadas al
inicio de este epígrafe.
Otra posible línea futura de investigación consistiría en establecer comparaciones,
y analizar las diferencias y similitudes, entre las representaciones cognitivas y
emocionales que tiene la población sana sobre dos enfermedades a priori tan
dispares, pero a la vez con consecuencias tan graves, como son la hipertensión y el
cáncer, en la línea de tener una comprensión y explicación más globalizadora de estas
dos enfermedades y de entender un poco mejor cómo se produce el proceso de
construcción de los modelos mentales de ambas y, por tanto, como consecuencia, del
ajuste a las mismas.
Finalmente, existen otras limitaciones de carácter metodológico y de diseño. En
primer lugar, el diseño transversal de esta investigación no permite establecer vías
causales direccionales, incluso cuando algunas estrategias de análisis estadístico
permiten explorar relaciones teóricas de causalidad. Un diseño longitudinal prospectivo
correlacional o un diseño experimental con una intervención dirigida a modificar
representaciones inadecuadas y a favorecer creencias más ajustadas sobre la
enfermedad así como sobre los riesgos asociados y las posibilidades de prevención
que incremente el desarrollo de comportamientos preventivos reales permitiría
observar posibles cambios en las variables y sus relaciones a lo largo del tiempo, o
entre los grupos del estudio que reciben dicha intervención frente a los que no la
reciben y en comparación con los niveles de partida. Otra cuestión importante de cara
a futuras investigaciones es la necesidad de explorar la presencia de relaciones
indirectas (i.e., efectos de mediación y moderación) entre las variables que se han
revelado como relevantes en la investigación de las representaciones cognitivas y
emocionales sobre la enfermedad en general y en los estudios que conforman esta
Tesis Doctoral en particular.
La investigación futura debe, además de corregir las deficiencias comentadas,
diseñar e implementar intervenciones que vayan dirigidas a construir representaciones
tanto cognitivas como emocionales del cáncer y la hipertensión adecuadas, ajustadas
y realistas, así como representaciones correctas del riesgo y la prevención y que
enfaticen la puesta en práctica de manera real en la vida cotidiana de cambios
conductuales, así como explorar la eficacia de dichas intervenciones, siendo necesario
seguir investigando, con los instrumentos adecuados, los múltiples beneficios
derivados de la aplicación de un programa de intervención dirigido a la población sana
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que tenga en cuenta todas las dimensiones que nuestros estudios han revelado como
relevantes.
Adicionalmente, es necesario seguir investigando los principales aspectos
psicosociales que determinan el afrontamiento de la enfermedad en personas que aún
no la padecen, especialmente los factores que influyen en la puesta en marcha de
modificaciones reales en el estilo de vida dirigidas a prevenir el desarrollo de una
determinada alteración. Ese aspecto se perfila como nuclear de cara a reducir el
impacto de enfermedades tan importantes como son el cáncer y la hipertensión, ya
que sólo conociendo esos factores, sus relaciones y el modo en que determinan los
esfuerzos de la población sana para protegerse contra una determinada enfermedad
podremos diseñar protocolos que ayuden a estas personas a iniciar y mantener
cambios en su conducta que permitan afrontar las posibles amenazas para su salud,
favoreciendo en última instancia su bienestar y calidad de vida.
A pesar de las limitaciones de nuestra investigación, nuestros resultados pueden
considerarse interesantes y novedosos, algunos de ellos incluso pioneros, y resaltan la
importancia y aplicabilidad del Modelo de Autorregulación y sus postulados básicos en
población sana.
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CAPÍTULO 13
Conclusiones generales
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De acuerdo con los objetivos tanto de carácter general como específicos de cada uno
de los estudios que conforman esta Tesis Doctoral, y a la vista de los resultados
obtenidos, podemos extraer las siguientes conclusiones generales.
En primer lugar, y si centramos nuestra atención en los estudios 1, 3 y 4, el
primero de ellos realizado con cáncer y los otros con hipertensión, parece claro que los
postulados del SRM que establecen que a) construimos representaciones de la
enfermedad, las cuales recogen una amplia variedad de características percibidas de
ésta, para dotar a dicha condición de un sentido completo y con significado para
nosotros, y que b) dichas representaciones incluyen una combinación de aspectos
tanto ajustados y objetivos cercanos al conocimiento biomédico así como otros
populares y culturales y, por tanto, más alejados de ese conocimiento, quedan
avalados por los hallazgos de estos estudios. Para el caso de ambas enfermedades se
cumplen ambos postulados y los estudios referidos muestran cómo la población sana
posee en general creencias que son apropiadas y correctas sobre estas
enfermedades, sus características, evolución, impacto y posibilidades de control y
curación así como de los aspectos emocionales ligados a las mismas, pero también
otras percepciones que son erróneas, fruto de ideas que perviven en nuestra cultura y
nuestra sociedad, confusiones entre causas y consecuencias o errores ligados a una
mala interpretación o comprensión de lo que cada enfermedad significa.
Esta información sobre cómo la población sana percibe dos enfermedades muy
comunes y con importantes consecuencias para la salud y el bienestar, de manera
previa el desarrollo de las mismas, tiene una gran utilidad de carácter aplicado para el
desarrollo de estrategias de intervención dirigidas a la educación de los no pacientes
que tengan en consideración en qué dimensiones existen representaciones más y
menos ajustadas y correctas, de cara a lograr que los esquemas de enfermedad, que
engloban creencias cognitivas y representaciones emocionales, sean lo más ajustados
posible al conocimiento biomédico objetivo.
En segundo lugar, los hallazgos de estos tres estudios han puesto de manifiesto
que la influencia de variables de carácter sociodemográfico es limitada, y sólo en
casos muy puntuales y específicos la edad, el sexo o el nivel educativo conducen a
cambios en las representaciones cognitivas o emocionales. Sin embargo, el estudio 4
ha mostrado que si consideramos el estatus socioeconómico, entendido como una
combinación de nivel de ingresos, nivel educativo y posición laboral, en lugar de
valorar estas variables de forma separada, la influencia sobre las representaciones
acerca de la hipertensión parece ser más evidente.
De acuerdo con los resultados de nuestros estudios, la variable que incide de
manera más importante en las representaciones cognitivas y emocionales sobre el
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cáncer y la hipertensión es la experiencia con la enfermedad, derivada del hecho de
convivir o haber convivido con una persona que padece o ha padecido alguna de estas
alteraciones (i.e., experiencia familiar). Esta influencia clara de la experiencia indirecta
con una enfermedad, en este caso ejemplificada en el cáncer y la hipertensión,
vendría a apoyar otra de las propuestas del SRM demostrada en una amplia variedad
de estudios con distintas enfermedades y poblaciones.
En este sentido, de cara tanto a cuestiones de investigación como de intervención
(e.g., prevención) con población general, pero muy especialmente en este segundo
caso, sería recomendable considerar a la población sana con experiencia familiar con
una alteración concreta como un subgrupo específico y diferenciado dentro la
población sana. No obstante, nuestros hallazgos también señalan una influencia
diferente de la experiencia con la enfermedad para enfermedades como la
hipertensión y el cáncer. Mientras que en la segunda haber convivido con una persona
enferma se asocia a crear representaciones cognitivas más severas o graves del
cáncer y a experimentar reacciones emocionales más negativas, en el caso de la
hipertensión sucede al contrario, y ayuda a crear percepciones más positivas y
probablemente más ajustadas o realistas de la enfermedad, y no peligrosamente
benignas (i.e., conciencia de la gravedad y preocupación por el riesgo, asociado a
mayor inversión conductual preventiva). Por ello, las intervenciones con ambos grupos
de personas deben tener en cuenta este efecto diferencial. La razón por la que esto
sucede (por ejemplo, si la experiencia familiar se asocia en un caso a construir
percepciones más dramáticas del cáncer en términos de bienestar y funcionamiento
personal y familiar, mientras que en el otro ayuda a percibir como más manejable
personalmente el impacto de la hipertensión sobre la salud y el riesgo de futuras
complicaciones) es algo que la investigación futura debe explorar para ser considerado
en el diseño de intervenciones aplicadas.
Por otro lado, los resultados del estudio 2 de esta Tesis Doctoral han puesto de
manifiesto de forma indiscutible, por un lado, el importante impacto emocional que el
cáncer provoca en la población sana y, por otro, la interrelación entre las diferentes
dimensiones del SRM, postulada por el modelo, y específicamente el valor predictivo
de las dimensiones de carácter cognitivo, en nuestro caso identidad, duración,
consecuencias y causas, sobre el malestar emocional o representaciones emocionales
de la enfermedad.
En este sentido, teniendo en cuenta el primero de los hallazgos, en población
sana la posibilidad de sufrir cáncer genera un importante impacto emocional
relacionado con sentimientos de ansiedad, preocupación, miedo y tristeza. Esta
reacción emocional además se va a ver determinada por las representaciones
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cognitivas que las personas sanas construyen sobre el cáncer, siendo éstas el
principal elemento de influencia en el malestar emocional. Pero además, la experiencia
familiar con la enfermedad parece tener un papel moderador en esa interdependencia
entre aspectos cognitivos y emocionales en cáncer.
Estos hallazgos poseen importantes implicaciones relacionadas, entre otros
aspectos, con las posibilidades de prevención de la enfermedad. En este sentido, de
acuerdo con los resultados de las investigaciones al respecto, parece claro que los
aspectos emocionales ejercen un importante papel en la evitación de riesgos y el
desarrollo de conductas de protección y prevención de la enfermedad. De acuerdo con
nuestros resultados, las intervenciones en prevención primaria del cáncer deberían
incluir no sólo aspectos emocionales de carácter persuasivo que generen un impacto
en la población sana, sino que deberían incidir también en los aspectos cognitivos que
predicen ese malestar emocional, es decir en la severidad percibida del cáncer debido
a su sintomatología, las consecuencias y el impacto que la enfermedad puede tener
para pacientes y familiares, o la duración percibida del proceso de enfermedad.
Lógicamente, las intervenciones no pueden centrarse únicamente en generar malestar
emocional, no podemos quedarnos únicamente en un mensaje de miedo, sino que
deben complementarse con aspectos formativos y que enfaticen la importancia y el
modo de prevenir el cáncer y los beneficios del cambio de conducta hacia hábitos de
vida más saludables, así como la necesidad de llevar a cabo revisiones periódicas y
exámenes médicos, generando también esperanza. En definitiva, las reacciones
emocionales podrían ser un buen punto de partida para promover actitudes y
motivaciones más proclives hacia la prevención.
La importancia de introducir cambios en el estilo de vida por parte de la población
sana para prevenir la aparición de enfermedades, en concreto la hipertensión, con
todos los riesgos que esta enfermedad conlleva para la salud parece estar fuera de
toda duda, y en este sentido los resultados del estudio 3 de esta Tesis doctoral han
puesto de manifiesto la relación entre representaciones cognitivas y emocionales
sobre la hipertensión, percepciones del riesgo asociado a la enfermedad y la eficacia
de los comportamientos preventivos y la práctica de conductas de prevención
destinadas a evitar la aparición de la hipertensión. Esta relación entre
representaciones cognitivas y emocionales sobre una enfermedad y variables
conductuales, como las conductas de afrontamiento y prevención, constituye uno de
los postulados nucleares del SRM y también se ha visto avalado por los resultados de
este estudio.
En este sentido, nuestros hallazgos han mostrado que existe una influencia clara
de las creencias acerca de la hipertensión en la percepción de los riesgos para la
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salud asociados a una elevada presión arterial, en la confianza en la eficacia de los
comportamientos de prevención y en la puesta en marcha de dichas conductas en la
vida cotidiana de las personas sanas. Si se tiene en cuenta esa influencia y el sentido
de la misma, consideramos que actuando sobre esas representaciones podremos
lograr modificar en parte esas variables que van a incidir de forma clara en el
afrontamiento de los riesgos y que van a determinar finalmente el bienestar y calidad
de vida de la población sana.
Los resultados de este estudio han mostrado también que las variables
sociodemográficas van a ejercer algún tipo de influencia en las percepciones de
riesgos y en la percepción y práctica de conductas preventivas, pero que la
experiencia familiar con la enfermedad emerge como un aspecto a tener en cuenta.
Un aspecto muy revelador puesto de manifiesto en este estudio es que, a pesar
de que la población sana es totalmente consciente de los importantes riesgos que para
la salud supone padecer hipertensión así como del modo en que la enfermedad se
puede prevenir y el alto grado de eficacia de esos comportamientos de prevención,
esas creencias no se traducen en conductas específicas en su estilo de vida para
evitar desarrollar este “asesino silente”. Este descorazonador hallazgo debe
considerarse un elemento clave y constituir el punto de partida para desarrollar
actuaciones de prevención primaria que no sólo enfaticen los riesgos de una elevada
presión arterial y ofrezcan modos de evitarlos, sino que además pongan el énfasis en
la necesidad de modificar el estilo de vida, la facilidad de esos cambios, la forma de
hacerlo y los enormes beneficios que supondrán para nuestra salud.
Además, y dado el conocimiento que se deriva de este estudio sobre la influencia
de las representaciones cognitivas y emocionales que la población sana posee sobre
la hipertensión en las conductas de prevención de la enfermedad, sería adecuado
considerar esas representaciones también como objeto de intervención, de modo que
la modificación de las mismas en el sentido indicado contribuya a actitudes y
motivaciones más positivas hacia una introducción real de cambios conductuales.
Finalmente, los resultados del último de los estudios que constituyen esta Tesis
Doctoral han puesto de manifiesto la posibilidad de considerar las representaciones
cognitivas y emocionales sobre la enfermedad de manera global, es decir formando
esquemas que incluyen representaciones emocionales y cognitivas específicas y
diferenciales, en lugar de dimensiones aisladas e independientes. Éste es otro
postulado básico del SRM apoyado por nuestros resultados.
Además, al considerar perfiles psicosociales multidimensionales en este estudio,
se ha demostrado que dichos esquemas además van a mostrar características propias
y distintas a las del resto de perfiles con respecto a otras importantes cuestiones como
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las percepciones de riesgos, la confianza en las posibilidades de prevención a través
de cambios en el estilo de vida y la práctica de esas conductas de prevención primaria
en la vida diaria.
En este sentido, se han encontrado tres perfiles diferentes, dos de los cuales
muestran unos niveles bajos o muy bajos de conciencia y preocupación sobre la
hipertensión y sus riesgos, y sólo en otro de ellos la población sana es realmente
consciente de los riesgos asociados a la enfermedad y muestra una preocupación real
por la posibilidad de padecerla. La pertenencia a uno u otro de los perfiles no sólo se
relaciona con aspectos cognitivos o representacionales, sino que se va a traducir
también en cuestiones comportamentales como son la introducción de cambios reales
en las conductas de la vida cotidiana para prevenir la enfermedad.
Nuevamente nos encontramos con que las representaciones emocionales y
cognitivas, en este caso consideradas de manera conjunta e interrelacionada, van a
determinar aspectos claves para la prevención de la hipertensión, lo que no sólo apoya
los postulados nucleares del SRM sino que es de gran utilidad a la hora de intervenir
en este ámbito. Una cuestión que no puede ser pasada por alto es la del
importantísimo porcentaje de la población sana, más de la mitad de acuerdo con
nuestros resultados, que se vería incluido en un perfil de representaciones cognitivas y
emocionales y percepciones de riesgo y prevención de baja o muy baja conciencia y
preocupación, lo que lleva inevitablemente a una escasa predisposición a la
prevención de la hipertensión.
De nuevo, la experiencia con la enfermedad se revela como una variable que
debe ser tenida en cuenta, ya que nuestros resultados señalan que la población sana
que no convive o ha convivido con un/a hipertenso/a se incluye en mayor medida en el
perfil más peligroso que posee unas representaciones cognitivas y emocionales y de
riesgos que los conducen a valorar de manera menos acertada las posibilidades de
prevenir la enfermedad e introducir cambios en sus conductas cotidianas en ese
sentido.
Todo estos hallazgos poseen importantes implicaciones prácticas de cara a la
intervención en prevención primaria, ya que conocer, por un lado, que las
representaciones sobre la hipertensión y otras variables fundamentales para la
prevención como la percepción de riesgos y la confianza en las posibilidades
preventivas se agrupan formando perfiles globales o esquemas, y que además esos
perfiles también se relacionan con las conductas reales de afrontamiento, debe facilitar
el desarrollo de actuaciones tendentes a crear esquemas globales más positivos en la
línea del cluster de alta conciencia y preocupación por la enfermedad. Por otro lado, el
preocupante porcentaje de la población sana que no es consciente de lo que esta
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enfermedad implica y, en consonancia, no llevan a cabo ningún tipo de actuación
dirigida a evitar su aparición debe apremiarnos a trabajar en el desarrollo de
intervenciones y estrategias que, teniendo en cuenta el papel de la experiencia
familiar, actúen sobre las representaciones cognitivas y emocionales y permitan a la
población sana generar niveles adecuados de conciencia y preocupación, pero
también de confianza en las posibilidades de prevención, que se traduzcan en
cambios reales en sus vidas.
De forma general, si revisamos los hallazgos de los diferentes estudios que
conforman esta Tesis Doctoral, podemos afirmar que los postulados básicos del SRM
que han sido explorados en población sana se cumplen, mostrando, por tanto, las
posibilidades de aplicación de este modelo teórico en personas que no padecen ni han
padecido una determinada enfermedad y la utilidad y valor del mismo en esta
población. Por otro lado, es importante destacar que en población sana la experiencia
con la enfermedad derivada de convivir o haber convivido con alguien enfermo es un
factor de especial relevancia en la configuración de las representaciones emocionales
y cognitivas de la enfermedad que debe ser considerado en la investigación al
respecto o a nivel aplicado. Finalmente, también queda demostrado de forma clara el
importante carácter aplicado del SRM en población general sana y las posibilidades
que este modelo ofrece para una adecuada intervención en prevención primaria,
favoreciendo la eficacia de los programas preventivos dirigidos a la reducción del
impacto que enfermedades tan graves como el cáncer o la hipertensión pueden
provocar a nivel mundial. En este sentido, no podemos olvidarnos de la importancia y
el valor de las actuaciones preventivas en términos de costes sanitarios futuros y de
que ese valor se ve multiplicado si tenemos en cuenta los costes personales,
familiares y sociales.
De acuerdo con todo ello, la relevancia que las representaciones cognitivas y
emocionales acerca del cáncer y la hipertensión poseen en relación a las posibilidades
de prevención de estas epidemias mundiales subraya también el papel de las
actuaciones psicológicas y de los psicólogos como agentes de prevención de la morbi-
mortalidad, incidiendo en definitiva en la salud, calidad de vida y cantidad de vida sana
de los ciudadanos.
En definitiva, nuestros hallazgos confirman, con una población que había sido
relegada a un segundo plano en los estudios sobre representaciones cognitivas y
emocionales de enfermedad desarrollados con el SRM como marco conceptual, que
este modelo es aplicable y posee gran utilidad también en población sana, de modo
que las representaciones emocionales y cognitivas que esta población construye sobre
la enfermedad van a determinar su afrontamiento de los riesgos y su puesta en
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marcha de conductas de protección y prevención, incidiendo así en su salud, bienestar
y calidad de vida.
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PARTE V:
REFERENCIAS BIBLIOGRÁFICAS
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Referencias
Affleck, G., Tennen, H., Croog, S. & Levine, S. (1987). Causal attribution, perceived
benefits, and morbidity after a heart attack: An 8-year study. Journal of Consulting
and Clinical Psychology, 55, 29-35.
Agencia Europea de Investigación contra el Cáncer (IRC) y Comisión Europea (CE).
(2014). Código Europeo contra el Cáncer. IV Edición. Ginebra
Anagnostopoulos, F. & Spanea, E. (2005). Assessing illness representations of breast
cancer: Comparison of patients with healthy and benign controls. Journal of
Psychosomatic Research, 58, 327-334.
Andersson, P., Sjöberg, R.L., Öhrvik, J. y Leppert, J. (2009). The effects of family
history and personal experiences of illness on the inclination to change health-
related behaviour. Central European Journal of Public Health, 17, 3-7.
Aroian, K.J., Rosalind, M.P., Rudner N. & Waser, L. (2012). Hypertension Prevention
Beliefs of Hispanics. Journal of Transcultural Nursing, 23, 134-142.
Awasthi, P. (2011). Illness Beliefs and Coping Strategies of Diabetic Women.
Psychological Studies, 56, 176-184.
Babu, G.R., Waran, J.A., Mahapatra, T., Mahapatra, S., Kumar, A., Detels, R. &
Pearce, N. (2014). Is hypertension associated with job strain? A meta-analysis of
observational studies. Occupational Environmental Medicine, 71, 220-227.
Banegas, J.R. (2005). Epidemiología de la hipertensión arterial en España. Situación
actual y perspectivas. Hipertensión, 22, 353-362.
Banegas, J.R., Jovell, A., Abarca, B., Aguilar Diosdado, M., Aguilera, L., Aranda, P. et
al. (2009). Hipertensión arterial y política de salud en España. Medicina Clinica,
132, 222–229.
Banegas, J.R., López-García, E., Dallongeville, J., Guallar, E., Halcox, J.P., Borghi. et
al. (2011). Achievement of treatment goals for primary prevention of cardiovascular
disease in clinical practice across Europe: The EURIKA study. European Heart
Journal, 32, 2143-2152.
Banegas, J.R. & Rodríguez Artalejo, F. (2002). El problema de la hipertensión arterial
en España. Revista Clinica Española, 202,12-15.
Banegas, J.R., Rodríguez Artalejo F., Cruz, J.J., Guallar, P. & Rey, J. (1998). Blood
pressure in Spain: Distribution, awareness, control, and benefits of a reduction in
average pressure. Hypertension, 32, 998-1002
Banegas, J.R., Rodríguez Artalejo, F., Graciani, A., Villar, F., Guallar, P. & Cruz J.J.
(1999). Epidemiología de la hipertensión arterial en España. Prevalencia,
conocimiento y control. Hipertensión, 16, 315-22.
346
Barez, M., Blasco, T., Fernandez-Castro, J. & Viladrich, C. (2009). Perceived control
and psychological distress in women with breast cancer: A longitudinal study.
Journal of Behavioral Medicine , 2, 187-96.
Barnes, L., Moss-Morris, R. & Kaufusi, M. (2004). Illness beliefs and adherence in
diabetes mellitus: a comparison between Tongan and European patients. New
Zealand Medical Journal, 117, 1177-1188.
Barrowclough, C., Lobban, F., Hatton, C. & Quinn, J. (2001). An investigation of
models of illness in carers of schizophrenia patients using the IPQ. British Journal
of Clinical Psychology, 40, 371-385.
Bazán, G.E., Osorio, M., Miranda, A.L., Alcántara, O. & Uribe, G. (2013). Validación del
cuestionario breve sobre percepción de la enfermedad (BIPQ) en hipertensos.
Revista de Psicología de Trujillo, 15, 78-91.
Bazzazian, S. & Besharat, M.A. (2010). Reliability and validity of a Farsi version of the
brief illness perception questionnaire. Procedia Social and Behavioral Sciences, 5,
962-996.
Beléndez, R., Bermejo, R.M., & García-Ayala, M.D. (2005). Estructura factorial de la
versión española del Revised Illness Perception Questionnaire en una muestra de
hipertensos. Psicothema, 17, 318-324.
Boudreaux, E.D., Moon, S., Baumann, B.M., Camargo, C.A., Hea, E.O. & Ziedonis,
D.M. (2010). Intentions to quit smoking: Causal attribution, perceived Illness
severity, and event-related fear during an acute health event. Annals of Behavioral
Medicine, 40, 350-355.
Broadben, E., Petrie, K.J., Main, J. & Weinman, J. (2006). The brief illness perception
questionnaire. Journal of Psychosomatic Research, 6, 631-7.
Buick, D. & Petrie, K.J. (2002). “I know just how you feel”: The validity of healthy
women's perceptions of breast cancer patients receiving treatment. Journal of
Applied Social Psychology, 32, 110-123.
Cameron, L.D. (2008). Illness risk representations and motivations to engage in
protective behavior: The case of skin cancer risk. Psychology & Health, 23, 91-
112.
Cameron, L.D., Booth, R.J., Schlatter, M.M., Ziginskas, D., Harman, J.E. & Benson, S.
(2005). Cognitive and affective determinants of decisions to attend a group
psychosocial support program for women with breast cancer. Psychosomatic
Medicine, 67, 584-589.
Cameron, L. D., & Leventhal, H. (Eds.) (2003). The self-regulation of health and illness
behaviour. London and New York: Routledge.
347
Cameron, L.D. & Moss-Morris, R. (2004). Illness-related cognition and behaviour. In D.
French, K. Vedhara, A.A. Kaptein & J. Weinman (eds.), Health and Psychology
(pp. 84-110). Malden, MA: BPS Blackwell.
Chalder, T., Power, M.J. & Wessely, S. (1996). Chronic fatigue in the community: A
question of attribution. Psychologycal Medicine, 26, 791-800.
Chang, M., Valdez, R., Ned, R., Liu, T., Yang, Q., Yesupriya, A. et al. (2011). Influence
of Familial Risk on Diabetes Risk-Reducing Behaviors Among U.S. Adults Without
Diabetes. Diabetes Care, 34, 2393-2399.
Charlier, C., Pauwel, S. E., Lechner, L., Spitaels, H., Bourgois, J., De Bourdeaudhuij &
Van Hoofe, E. (2012). Physical activity levels and supportive care needs for
physical activity among breast cancer survivors with different psychosocial profiles:
a cluster-analytical approach. European Journal of Cancer Care, 21, 790-799.
Chauhan, U. (2007). Cardiovascular disease prevention in primary care. British Medical
Bulletin, 81 and 82, 65-79.
Chida, Y, & Steptoe, A. (2010). Greater Cardiovascular Responses to Laboratory
Mental Stress Are Associated With Poor Subsequent Cardiovascular Risk Status:
A Meta-Analysis of Prospective Evidence. Hypertension, 5, 51026-1032.
Chen, S.L., Tsai, J.C. & Chou, K.R. (2011). Illness perceptions and adherence to
therapeutic regimens among patients with hypertension: a structural model
approach. International Journal of Nursing Studies, 48, 235-245.
Chen, S.L., Tsai, J.C. & Lee, W.L. (2009). The impact of illness perception on
adherence to therapeutic regimens of patients with hypertension in Taiwan.
Journal of Clinical Nursing, 18, 2234-2244.
Cherrington, C.C., Moser, D.K. & Lennie, T.A. (2002). The physiological response in
patients with acute myocardial infarction to the administration of psychological
instruments. Biological Research Nursing, 4, 85-91.
Chobanian, A.V., Bakris, G.L., Black, H.R., Cushman, W.C., Green, L.A., Izzo, J.L. et
al. (2003).The Seventh Report of the Joint National Committee on Prevention,
Detection, Evaluation, and Treatment of High Blood Pressure. JAMA, 289, 2560-
2572.
Claassen, L., Henneman, L., Kindt, I., Marteau, T.M. & Timmermans, D.R. (2010).
Perceived Risk and Representations of Cardiovascular Disease and Preventive
Behaviour in People Diagnosed with Familial Hypercholesterolemia. A Cross-
sectional Questionnaire Study. Journal of Health Psychology, 15, 33-43.
Claassen, L., Henneman, L., Van der Weijden, T., Marteau, T.M. & Timmermans, D.R.
(2012). Being at risk for cardiovascular disease: Perceptions and preventive
348
behaviour in people with and without a known genetic predisposition. Psychology,
Health & Medicine,17, 511-521.
Collins, C.M., Dantico, M., Shearer, N. & Mossman, K.L. (2004). Heart Disease
Awareness Among College Students. Journal of Community Health, 29, 405-420.
Cooper, A.F., Lloyd, G.W., Weinman, J. & Jackson, G. (1999). Why patients do not
attend cardiac rehabilitation: Role of intentions and illness beliefs. Heart, 82, 234-
236.
Cooper, A.F., Weinman, J., Hankins, M., Jackson, G. & Horne, R. (2007) Assessing
patients’ beliefs about cardiac rehabilitation as a basis for predicting attendance
after acute myocardial infarction. Heart, 93, 53-58.
Costanzo, E.S., Lutgendorf, S.K. & Roeder, S.L. (2010). Common-sense beliefs about
cancer and health practices among women completing treatment for breast
cancer. Psycho-Oncology, 20, 53-61.
Crawshaw, J., Rimington, H., Weinman, J. & Chilcot, J. (2015). Illness Perception
Profiles and Their Association with 10-Year Survival Following Cardiac Valve
Replacement, Annals of Behavioural Medicine. 49, 749-765.
Croyle, R.T. & Ditto, P.H. (1990). Illness cognition and behaviour: An experimental
approach. Journal of Behavioral Medicine, 13, 31-52.
De Castro, E., Aretz, M., Lawrenz, P., Bittencourt, F. & Abduch, S. (2013). Illness
perceptions in Brazilian women with cervical cancer, women with precursory
lesions and healthy women. Psicooncología, 10, 417-423.
De Castro, E., Peuker, A.C., Lawrenz, P. & Figueiras, M.J. (2015). Illness perception,
knowledge and self-care about cervical cancer. Psychology/Psicologia Reflexão e
Crítica, 28, 483-489.
De Raaij, E.J., Schroder, C., Maissan, F.J., Pool, J.J. & Wittink, H. (2012).
Crosscultural adaptation and measurement properties of the Brief Illness
Perception Questionnaire- Dutch Language Version. Mannual of Therapy, 17, 330-
335.
Decruyenaere, M., Evers-Kiebooms, G., Welkenhuysen, M., Denayer, L. & Claes, E.
(2000). Cognitive representations of breast cancer, emotional distress and
preventive health behaviour: A theoretical perspective. Psycho-Oncology, 9, 528-
536.
Del Castillo, A., Godoy-Izquierdo, D., Vázquez, M.L. & Godoy, J.F. (2011). Illness
beliefs about cancer among healthy adults who have and have not lived with
cancer patients. International Journal of Behavioral Medicine, 18, 342-351.
349
Del Castillo, A., Godoy-Izquierdo, D., Vázquez, M.L. & Godoy, J.F. (2013). Illness
beliefs about hypertension among non-patients and healthy relatives patients.
Health, 5, 47-58.
Delaney, J.A., Oddson, B.E., Kramer, H., Shea, S., Psaty, B.M. &, McClelland, R.L.
(2011). Baseline Depressive Symptoms Are Not Associated With Clinically
Important Levels of Incident Hypertension During Two Years of Follow-Up. The
Multi-Ethnic Study of Atherosclerosis. Hypertension, 55, 408-414.
Dempster, M., McCorry, N.K., Brennan, E., Donnelly, M., Murray, L.G. & Johnston, B.T.
(2010). Do changes in illness perceptions predict changes in psychological
distress among oesophageal cancer survivors? Journal of Health Psychology, 16,
500-509.
Dempster, M., McCorry, N.K., Brennan, N., Donnelly, M., Murray, L.J. & Johnston, B.T.
(2011a). Psychological distress among family carers of oesophageal cancer
survivors: the role of illness cognitions and coping. Psycho-Oncology, 20, 698-705.
Dempster, M., McCorry, N.K., Brennan, N., Donnelly, M., Murray, L.J. & Johnston, B.T.
(2011b). Illness perceptions among carer survivor dyads are related t
psychological distress among Oesophageal cancer survivors. Journal of
Psychosomatic Research, 70, 432-439.
Dickinson, H.O., Mason, J.M., Nicolson, D.J., Campbell, F., Beyer, F.R., Cook, J.V. et
al. (2006). Lifestyle interventions to reduce raised blood pressure: a systematic
review of randomized controlled trials. Journal of Hypertension, 24, 215-233.
Diefenbach, M.A. & Leventhal, H. (1996). The common-sense model of illness
representations: Theoretical and practical considerations. Journal of Social
Distress and the Homeless, 5, 11-38.
Dijkstra. A., Vlaeyen, J.W., Rijnen, H. & Nielson W. (2001) Readiness to adopt the self-
management approach to cope with chronic pain in fibromyalgic patients. Pain, 90,
37-45.
Dunkel, A., Kendel, F., Lehmkul, E., Heztzer. R. & Regitz-Zagrosek, V. (2011). Causal
attributions among patients undergoing coronary artery bypass surgery: Gender
aspects and relation to depressive symptomatology. Journal of Behavioral
Medicine, 34, 351-359.
Edgar, K.A. & Skinner, T.C. (2003). Illness representations and coping as predictors of
emotional well-being in adolescents with type 1 diabetes. Journal of Pediatric
Psychology, 28, 485-493.
Edwards, R., Suresh, R., Lynch, S., Clarkson, P. & Stanley, P. (2001). Illness
perceptions and mood in chronic fatigue syndrome. Journal of Psychosomatic
Research, 50, 65-68.
350
Estoppey, D., Paccaud, F., Vollenweider, P. & Marques-Vidal, P. (2011). Trends in self-
reported prevalence and management of hypertension, hypercholesterolemia and
diabetes in Swiss adults, 1997-2007. BMC Public Health, 11, 114-123.
Félix-Redondo, F.J., Fernández-Bergés, D., Pérez, J.F., Zaro, M.J., García, A.,
Lozano, M. et al. (2011). Prevalencia, detección, tratamiento y grado de control de
los factores de riesgo cardiovascular en la población de Extremadura (España).
Estudio HERMEX. Atención Primaria, 43, 426-434.
Ferlay, J., Soerjomataram, I., Ervik, M., Dikshit, R., Eser, S., Mather, C. et al. (2012).
GLOBOCAN v1.0, Cancer Incidence and Mortality Worldwide: IARC.
Figueiras, M.J. & Alves, N.C. (2007). Lay perceptions of serious illnesses: An adapted
version of the Revised Illness Perception Questionnaire (IPQ-R) for healthy
people. Psychology & Health, 22, 143-158.
Figueiras, M., Marcelino, D.L., Claudino, A., Cortes, M.A., Maroco, J. & Weinman J.
(2010). Patients' illness schemata of hypertension: The role of beliefs for the
choice of treatment. Psychology & Health, 25, 507-517.
Figueiras, M. & Weinman, J. (2003). Do congruent patient and spouse perceptions of
myocardial infarction predict recovery? Psychology & Health, 18, 201-16.
Forman, J.P., Stampfer, M.J. & Curhan, G.C. (2009). Diet and Lifestyle Risk Factors
Associated With Incident Hypertension in Women. JAMA, 302, 401-411.
Fortune, G., Barrowclough, C. & Lobban, F. (2004). Illness representations in
depression. British Journal of Clinical Psychology, 43, 347-64.
Fortune, D.G., Richards, H.L., Main, C.J. & Griffiths, C.E. (2000). Pathological
worrying, illness perceptions and disease severity in patients with psoriasis. British
Journal of Health Psychology, 5, 71-82.
Fortune, D.G., Richards, H.L., Griffiths, C.E. & Main, C.J. (2002). Psychological stress,
distress and disability in patients with psoriasis: Consensus and variation in the
contribution of illness perceptions, coping and alexithymia. British Journal of
Clinical Psychology, 41, 157-174.
Fortune, D.G., Smith, J.V. and Garvey, K. (2005). Perceptions of psychosis, coping,
appraisals, and psychological distress in the relatives of patients with
schizophrenia: An exploration using self-regulation theory. British Journal of
Clinical Psychology, 44, 319-331.
French, D.P., Cooper, A. & Weinman, J. (2006). Illness perceptions predict attendance
at cardiac rehabilitation following acute myocardial infarction: A systematic review
with meta-analysis. Journal of Psychosomatic Research, 61, 757–767. French, D., Schröder, C. & Van Oort, L. (2011). The Brief IPQ does not have ‘robust
psychometrics’: Why there is a need for further developmental work on the Brief
351
IPQ, and why our study provides a useful start. British Journal of Heath
Psychology, 16, 250-256.
Frisoli, T.M., Schmieder, R.E., Grodzicki, T. & Messerli, F.H. (2011). Beyond salt:
Lifestyle modifications and blood pressure. European Heart Journal, 32, 3081-
3087.
Frostholm, L., Oernboel, E., Christensen, K.S., Toft, T., Olesen, F., Weinman, J. et al.
(2007). Do illness perceptions predict health outcomes in primary care patients? A
2-year follow-up study. Journal of Psychosomatic Research, 62, 129-138.
Furnham, A. & Chan, E. (2004). Lay theories of schizophrenia. A cross-cultural
comparison of British and Hong Kong Chinese attitudes, attributions and beliefs.
Social Psychiatry and Psychiatric Epidemiology, 39, 543-552.
Gasperin, D., Netuveli, G., Soares Dias-da-Costa, J. & Pattussi, M. (2009). Effect of
psychological stress on blood pressure increase: a meta-analysis of cohort
studies. Cadernos de Saúde Pública, 25, 715-726.
Geleijnse, J.M., Kok, F.J. & Grobbee, D.E. (2004). Impact of dietary and lifestyle
factors on the prevalence of hypertension in Western populations. European
Journal of Public Health, 14, 235-239.
Gercovich, D., López, P.L., Bortolato, D., Margiolakis, P., Morgenfeld, M., Rosell, L. &
Gil, E. (2012). Rol del distrés psicológico en la relación entre percepción de
enfermedad y calidad de vida en pacientes con cáncer de mama. Psicooncología,
9, 403-414.
Giannousi, Z., Manaras, I., Georgoulias, V. & Samonis, G. (2009). Illness perceptions
in Greek patients with cancer: A validation of the Revised-Illness Perception
Questionnaire. Psycho-Oncology, 19, 85-92.
Glattacker, M., Heyduck, K. & Meffert, C. (2012). Illness beliefs, treatment beliefs and
information needs as starting points for patient information - evaluation of an
intervention for patients with chronic back pain. Patient Education and Counseling,
86, 378-389.
Glattacker, M., Heyduck, K. & Meffert, C, (2013). Illness beliefs and treatment beliefs
as predictors of short-term and medium-term outcome in chronic back pain.
Journal of Rehabilitational Medicine, 45, 268-76.
Godoy-Izquierdo, D. y Godoy, J.F. (2006). Cuestionario de Creencias sobre la
Enfermedad (IPQ-R). Versión no publicada.
Godoy-Izquierdo, D., Fajardo, I., López-Torrecillas, F., Peralta, I., López-Chicheri, I. &
Godoy, J.F. (2007). Propiedades psicoméricas de la versión española del
“Cuestionario de Modelos Ímplícitos de Enfermedad para Enfermedades Físicas y
Mentales. Psicología Conductual, 15, 215-236.
352
Godoy-Izquierdo, D., López-Chicheri, I., López-Torrecillas, F., Vélez, M. & Godoy, J.F.
(2007). Contents of lay illness models dimensions for physical and mental
diseases and implications for health professionals. Patient Education and
Counseling, 67, 196-213.
Gopinath, B., Louie, J.C., Flood, V.M., Rochtchina, E., Baur, L.A. & Mitchell, P. (2014).
Parental history of hypertension and dietary intakes in early adolescent offspring: A
population-based study. Journal of Human Hypertension, 28,721-725.
Gould, R.V., Brown, S.L. & Branwell, R. (20010). Psychological adjustment to
gynaecological cancer: Patients’ illness representations, coping strategies and
mood disturbance. Psychology & Health, 25, 633-46.
Grau, M., Elosua, R., Cabrera de León, M., Guembe., M.J., Baena-Díez, J.M., Vega
Alonso, T. et al. (2011). Cardiovascular Risk Factors in Spain in the First Decade
of the 21st Century, a Pooled Analysis With Individual Data From 11 Population-
Based Studies: the DARIOS Study. Revista Española de Cardiología (English
Edition), 64, 295-304.
Griva, K., Myers, L.B. & Newman, S. (2000). Illness perceptions and self-efficacy
beliefs in adolescents and young adults with insulin dependent diabetes mellitus.
Psychology and Health, 15, 733-50.
Guo, F., He DZhang, W. & Walton, R.G. (2012). Trends in Prevalence, Awareness,
Management, and Control of Hypertension Among United States Adults, 1999 to
2010. Journal of the American College of Cardiology, 60, 599-606.
Guo, X., Zou, L., Zhang, X., Li, J., Zheng, L., Sun, Z. et al. (2011). Prehypertension. A
Meta-Analysis of the Epidemiology, Risk Factors, and Predictors of Progression.
Texas Heart Institute Journal, 38, 643-652.
Hagger, M. & Orbell, S. (2003). A meta-analytic review of the common-sense model of
illness representations. Psychology and Health, 18, 141-184.
Hampson, S.E., Glasgow, R.E. & Toobert, D.J. (1990). Personal models of diabetes
and their relations to self-care activities. Health Psychology, 9, 632-46.
Hampson, S.E., Glasgow, R.E. & Zeiss, A. (1994). Personal models of osteoarthritis
and their relation to self-management activities and quality of life. Journal of
Behavioral Medicine, 17, 143-158.
Harrison, S.L., Robertson, N., Graham, C.D., Williams J., Steiner, M.C., Morgan, M.D.
et al. (2014). Can we identify patients with different illness schema following an
acuteexacerbation of COPD: A cluster analysis. Respiratory Medicine, 108, 319-
328.
353
Heckler, E., Lambert, J., Leventhal, E., Leventhal, H., Janh, E. & Contrada, R. (2008).
Commonsense illness belief, adherence behaviors and hypertension control
among African Americans. Journal of Behavioral Medicine, 31, 391-400.
Heijmans, M. (1998). Coping and adaptive outcome in chronic fatigue syndrome:
Importance of illness cognitions. Journal of Psychosomatic Research, 45, 39-51.
Heijmans, M. (1999). The role of patients’ illness representations in coping and
functioning with Addison’s disease. British Journal of Health Psychology, 4, 137-
149.
Heijmans, M. & de Ridder, D. (1998). Assessing illness representations of chronic
illness: Explorations of their disease-specific nature. Journal of Behavioral
Medicine, 21, 485-503.
Heijmans, M. & de Ridder, D. (1999). Structure and determinants of illness
representations in chronic disease: A comparison of Addison’s disease and
chronic fatigue syndrome. Journal of Health Psychology, 3, 523-537.
Heijmans, M., de Ridder, D. y Bensing, J. (1999). Dissimilarity in patients' and spouses’
representations of chronic illness: Exploration of relations to patient adaptation.
Psychology and Health, 14, 451-466.
Henselmans, I., Sanderman, R., Bass, P.C., Sunink, A. & Randor, A.V. (2009).
Personal control after a breast cancer diagnosis: stability and adaptive value.
Psycho-Oncology, 18, 104-108.
Hevey, D., Pertl, M., Thomas, K., Maher, L., Chuinneaga, S. & Craig, A. (2009). The
relationship between prostate cancer knowledge and beliefs and intentions to
attend PSA screening among at-risk men. Patient Education and Counseling, 74,
244-249.
Hirani, S.P. & Newman, S.P. (2005). Patients’ beliefs about their cardiovascular
disease. Heart, 9, 1235-9.
Holt, R., Chalder, T., Darnley, S., Kennedy, T., Jones, R. & Wessley, S. (2002). Illness
perceptions in irritable bowel syndrome: What role do they play? Gastroenterology
122, 1679-1678.
Honda, K., Goodwin, R.D. & Neugut, A.I. (2005). The associations between
psychological distress and cancer prevention practices. Cancer Detection and
Prevention, 29, 25-36.
Hoogerwerf, M.A., Ninaber, M.K., Willems, L.N. & Kaptein, A.A. (2012). Feelings are
facts: Illness perceptions in patients with lung cancer. Respiratory Medicine, 106,
1170-1176.
Hopman, P. & Rijken, M. (2015). Illness perceptions of cancer patients: Relationships
with illness characteristics and coping. Psycho-Oncology, 24, 11-18.
354
Horne, R. & Weinman, J. (1999). Patients' beliefs about prescribed medicines and their
role in adherence to treatment in chronic physical illness. Journal of
Psychosomatic Research, 47, 555-567.
Horne, R. & Weinman, J. (2002). Self-regulation and self-management in asthma:
exploring the role of illness perceptions and treatment beliefs in explaining non-
adherence to preventer medication. Psychology & Health, 17, 17-32.
Horowitz, C.R., Reinb, S.B. & Leventhal, H. (2004). A story of maladies,
misconceptions and mishaps: effective management of heart failure. Social
Science and Medicine, 58, 631-643.
Hsiao, C.Y., Chang, C. & Chen, C.D. (2012). An investigation on illness perception and
adherence among hypertensive patients. Kaohsiung Journal of Medical Sciences,
28, 442-447.
Huang, Y., Wang, S., Cai, X., Mai, W., Hu, Y., Tang, H. et al. (2013). Prehypertension
and incidence of cardiovascular disease: a meta-analysis. BMC Medicine, 11, 177-
186.
Instituto Nacional de Estadística, (2014). Defunciones según la causa de muerte. Nota
de prensa. 1-14.
Jenkins, D. & Zyzanski, S.J. (1968). Dimensions of belief and feeling concerning three
diseases, poliomyelitis, cancer, and mental illness: A factor analytic study.
Behavioral Science, 13, 372-381.
Jessop, D. & Rutter, D.R. (2003). Adherence to Asthma Medication: The Role of Illness
Representations. Psychology & Health, 18, 595-612.
Joint National Committee on prevention, detection, evaluation, and treatment of high
blood pressure, (2003). Seven Report of the Joint National Committee on
prevention, detection, evaluation, and treatment of high blood pressure.
Hypertension, 42, 1206-52.
Jonnalagadda, S; Lim, J.J., Nelson, J.E. , Powell, C,A., Salazar-Schicchi, J., Berman,
A.R.et al., (2012). Racial and Ethnic Differences in Beliefs About Lung Cancer
Care. Chest, 142, 1251-1258.
Jopson, N. & Moss-Morris, R. (2003). The role of illness severity and illness
representations in adjusting to multiple sclerosis. Journal of Psychosomatic
Research, 54, 503–11.
Juth, V., Cohen, S., Silver R. & Sender, L. (2015). The shared experience of
adolescent and young adult cancer patients and their caregivers. Psycho-
Oncology, DOI: 10.1002/pon.3785.
355
Kaplan, M., Huguet, N. and Feeney, D.H. (2010) Self- reported hypertension
prevalence and income among older adults in Canada and the United States.
Social Science and Medicine, 6, 844-849.
Kaptein, A.A., Bijsterbosch, J., Scharloo, M., Hampson, S.E., Kroon, H.M. &
Kloppenburg, M. (2010). Using the Common Sense Model of Illness Perceptions to
Examine Osteoarthritis Change: A 6-Year Longitudinal Study. Health Psychology,
29, 56-64.
Kaptein, A.A., Scharloo, M., Helder, D.I., Kleijn, W.C., van Korlaar, I.M. & Woertman,
M. (2003). Representations of chronic illness. In Cameron, L.D. & Leventhal, H.
(eds.) The self-regulation of health and illness behaviour. London: Routledge, 97-
118.
Kaptein, A.A., van Korlaar, I.M., Cameron, L.D., Vossen, C.Y., van der Meer, F.J. &
Rosendaal, F.R. (2007). Using the common-sense model to predict risk perception
and disease-related worry in individuals at increased risk for venous thrombosis.
Health Psychology, 26, 807-812.
Karasz, A., McKee, M.D. & Roybal, K. (2003). Women’s experiences of abnormal
cervical cytology: Illness representations, care processes, and outcomes. Annals
of Family Medicine, 1, 196-202
Kearney, P.M., Whelton, M., Reynolds, K., Muntner, P., Whelton, P.K. & He, J. (2005).
Global burden of hypertension: Analysis of worldwide data. The Lancet, 365, 217-
223.
Kemp, S., Morley, S. & Anderson, E. (1999). Coping with epilepsy: Do illness
representations play a role? Bristish Journal of Clinical Psychology, 38, 43-58.
Knowles, S.R., Tribbick, D., Connell, W.R., Castle, D., Salzberg, M. & Kamm, M.A.
(2014). Exploration of health status, illness perceptions, coping strategies, and
psychological morbidity in stoma patients. Journal of Wound Ostomy Continence
Nursing. 41, 573-580.
Kohlmann, S., Rimington, H. & Weinman, J. (2012). Profiling illness perceptions to
identify patients at-risk for decline in health status after heart valve replacement.
Journal of Psychosomatic Research, 72, 427-433.
Kucukarslan, S.N. (2012). A review of published studies of patients’ illness perceptions
and medication adherence: Lessons learned and future directions. Research in
Social and Administrative Pharmacy, 8, 371-382.
Lam, W.W., Soong, I., Yau, T.K., Wong, k.Y., Tsang, J., Yeo, W. et al. (2013). The
evolution of psychological distress trajectories in women diagnosed with advanced
breast cancer: a longitudinal study. Psycho-Oncology, 22, 2831-2839.
356
Lancastle, D., Brain, K. & Phelps, C. (2011). Illness representations and distress in
women undergoing screening for familial ovarian cancer. Psychology & Health, 26,
1659-1677.
Landsbergis, P.A., Dobson, M., Koutsouras, G. & Schnall, P. (2013). Job Strain and
Ambulatory Blood Pressure: A Meta-Analysis and Systematic Review. American
Journal of Public Health, 103, 61-71.
Lau, R.R., Bernard, T.M. & Hartman, K.A. (1989). Further explorations of common-
sense representations of common illnesses. Health Psychology, 8, 195-219.
Lauber, C., Falcato, L., Nordt, C. y Rossler, W. (2003). Lay beliefs about causes of
depression. Acta Psychiatrica Scandinavica, 108, 96-99.
Lau-Walker, M. (2007). Importance of illness beliefs and self-efficacy for patients with
coronary heart disease. Journal of Advanced Nursing, 60, 187-198.
Lee, T.J., Cameron, L.D., Wunsche, B. & Stevens, C. (2011). A randomized trial of
computer-based communications using imagery and text information to alter
representations of heart disease risk and motivate protective behaviour. British
Journal of Health Psychology, 16, 72–91.
Lehto, R.H. (2007). Causal attributions in individuals with suspected lung cancer:
Relationships to illness coherence and emotional responses. Journal of the
American Psychiatric Nurses Association, 13, 109-115.
Letelier, C.J., Núñez, D.E. &. Rey, R.J. (2011). Taxonomía de Pacientes con Diabetes
Tipo 2 basada en sus Representaciones de Enfermedad. PSYKHE, 20, 115-130.
Leventhal, H., Benyamini, Y., Brownlee, S., Diefenbach, M., Leventhal, E.A., Patrick-
Miller, L. & Robitaille, C. (1997). Illness representations: Theoretical foundations.
In K.J. Petrie & J. Weinman (dirs.), Perceptions of health and illness (pp. 19-47).
London: Harwood Academic.
Leventhal, H., Bodnar-Deren, S., Breland, J.Y., Gash-Converse, J., Phillips, L.A.,
Leventhal, E., & Cameron, L.D. (2011). Modeling health and illness behavior: The
approach of the Common-Sense Model. In A. Baum, T. Revenson, & J. Singer
(Eds.), Handbook of health psychology, 2nd edition (in press). New York: Erlbaum.
Leventhal, H., Brissette, I. & Leventhal, E.A. (2003). The common-sense model of
regulation of health and illness. In L.D. Cameron & H. Leventhal (eds.), The self-
regulation of health and illness behaviour (pp. 42-65). London: Routledge.
Leventhal, H. & Diefenbach, M. (1991). The active side of illness cognition. In
R.T.Skelton & M. Croyle (dirs.), Mental representation in health and illness (pp.
247-272). New York, NY: Springer Verlag.
357
Leventhal, H., Diefenbach, M. & Leventhal, E.A. (1992). Illness cognition: Using
common sense to understand treatment adherence and affect cognition
interactions. Cognitive Therapy and Research, 116, 143-163.
Leventhal, H., Leventhal, E.A. & Cameron, L. (2001). Representations, procedures,
and affect in illness self-regulation: A perceptual-cognitive model. In A. Baum, T.A.
Revenson & J.E. Singer (dirs.), Handbook of health psychology (pp. 19-48).
Mahwah: Lawrence Erlbaum.
Leventhal, H., Leventhal, E. & Contrada, R.J. (1998). Self-regulation, health and
behavior. A perceptual cognitive approach. Psychology & Health, 13, 717-734.
Leventhal, H., Meyer, D. & Nerenz, D. (1980). The common sense model of illness
danger. In S. Rachman (ed.), Medical psychology (pp. 7-30). New York:
Pergamon.
Leventhal, H., Nerenz, D.R. & Steele, D.F. (1984). Illness representations and coping
with health threats. In A. Baum, S.E. Taylor & J.E. Singer (dirs.), A handbook of
psychology and health: Sociopsychological aspects of health (pp. 219-252).
Hillsdale, NJ: Erlbaum.
Llewellyn, C.D., Miners, A.H., Lee, C.A., Harrington, C. & Weinman, J. (2003). The
Illness Perceptions and Treatment Beliefs of Individuals with Severe Haemophilia
and their Role in Adherence to Home Treatment. Psychology & Health, 18, 185-
200.
Llewellyn, C.D., McGurk, M. & Weinman, J. (2006). Head and neck cancer: to what
extent can psychological factors explain differences between health-related quality
of life and individual quality of life? British Journal of Oral and Maxilofacial Surgery,
44, 351-357.
Llewellyn, C.D., McGurk, M. & Weinman, J. (2007). Illness and treatment beliefs in
head and neck cancer: is Leventhal's common sense model a useful framework for
determining changes in outcomes over time? Journal of Psychosomatic Research,
63, 17-27.
Licht, C.M., de Geus, E.J., Seldenrijk, A., Van Hout, H.P., Zitman, F.G., Van Dyck, R.
et al. (2009). Depression Is Associated With Decreased Blood Pressure, but
Antidepressant Use Increases the Risk for Hypertension. Hypertension, 53, 631-
638.
Lin, F. & Heidrich, S.M. (2012). Role of older adult's illness schemata in coping with
Mild Cognitive Impairment. Journal of Psychosomatic Research. 72, 357-363.
Lima-Costa, M.F., Peixoto, S.V. & Firmo, J.O. (2004). Validity of self-reported
hypertension and its determinants (the Bambuí study). Revista de Saúde Pública,
38, 637-642.
358
Liu, K., Daviglus, M.L., Loria, C.M., Colangelo, L.A., Spring, B., Moller, A.C. et al
(2012). Healthy Lifestyle Through Young Adulthood and the Presence of Low
Cardiovascular Disease Risk Profile in Middle Age. The Coronary Artery Risk
Development in (Young) Adults (CARDIA) Study. Circulation, 125, 996-1004.
Llisterri, J.L., Rodríguez, G.C., Alonso, F.J., Banegas, J.R., González, M., Alsina, D. et
al. (2008). Control de la presión arterial en la población hipertensa española
atendida en Atención Primaria. Estudio PRESCAP 2006. Medicina Clinica, 130,
681-687.
Lobban, F., Barrowclough, C. & Jones, S. (2003). A review of the role of illness models
in severe mental illness. Clinical Psychology Review, 23, 171-196.
Lobban, F., Barrowclough, C. & Jones, S. (2005). Assessing cognitive representations
of mental health problems. II. The illness perception questionnaire for
schizophrenia: Relatives’ version. British Journal of Clinical Psychology, 44, 16-
179.
Lochting, I., Garratt, A.M., Storheim, K., Werner, E.L. & Grotle, M. (2013). Evaluation of
the Brief Illness Perception Questionnaire in Sub-Acute and Chronic Low Back
Pain Patients: Data Quality, Reliability and Validity. Journal of Pain Relief, 2, 1-7.
Lloyd-Jones, D., Hong, Y., Labarthe, D., Mozaffarian, D., Appel, L.J., Van Horn, L. et
al. (2010). Defining and Setting National Goals for Cardiovascular Health
Promotion and Disease Reduction. Circulation, 121, 586-613
Lloyd-Jones, D., Adams, R.J., Brown, T.M., Carnethon, M., Shifan, D., De Simone, G.
et al. (2011). Heart Disease and Stroke Statistics-2010 Update A Report From the
American Heart Association. Circulation, 121, 46-215.
Lopes, E., Alarcão, V., Fernandes, M., Gómez V., Simões, R., Nogueira, P. et al.
(2010). What is the impact of medication beliefs and illness perceptions on
hypertension control and medication adherence? (2012, Septiembre).
Comunicación presentada en el European Congress of Epidemiology, Porto,
Portugal. Epidemiology Unit, Institute of Preventive Medicine, Faculty of Medicine,
University of Lisbon, Portugal.
Lowe, R., Porter, A., Snooks, H., Button, L. & Evans, B.A. (2011). The association
between illness representation profiles and use of unscheduled urgent and
emergency health care services. British Journal of Health Psychology, 16, 862-
879.
Lykins E.L.B., Graue L.O., Brechting, E.H., Roach, A.R., Gochett, C.G. & Andrykowski,
M.A. (2008). Beliefs about cancer causation and prevention as a function of
personal and family history of cancer: a national,population-based study. Psycho-
Oncology, 17, 967-74.
359
Malcarne, V. L., Compas, B. E., Epping-Jordan, J .E. & Howell, D. C. (1995). Cognitive
factors in adjustment to cancer: Attributions of self-blame and perceptions of
control. Journal of Behavioral Medicine, 18, 401-417.
Mancia, G., Fagard, F., Narkiewicz, k., Redon, J., Zanchetti, A., Böhm, M. et al. (2013).
2013 ESH/ESC Guidelines for the management of arterial hypertension. Blood
Pressure, 22, 4, 193-278.
Marta, M., Zanchetti, A., Wong, N.D., Malyszko, J., Rysz, J. & Banach, M. (2013).
Patients with Prehypertension, do we have Enough Evidence to Treat them?
Current Vascular Pharmacology, 11, 1-12.
McClenahan, R. & Weinman, J. (1998). Determinants of carer distress in non-acute
stroke. International Journal of Lang Community Disorders, 33,138-43.
McCorry, N.K., Dempster, M., Quinn, J., Hogg, A., Newell, N., Moore, M. et al. (2013).
Illness perception clusters at diagnosis predict psychological distress among
women with breast cancer at 6 months post diagnosis. Psycho-Oncology, 22, 692-
698.
McFall, M., Nonneman, R., Rogers, L.Q. & Mukerji, V. (2009). Health Care Student
Attitudes Toward the Prevention of Cardiovascular Disease. Nursing Education
Perspectives, 30, 285-289.
Mc. Sharry, J., Moss-Morris, R. & Kendrick, T. (2011). Illness perceptions and
glycaemic control in diabetes: A systematic review with meta-analysis. Diabetic
Medicine, 11, 1300-1310.
Marín, R., Armario, P., Banegas, J.R., Campo, C., De la Sierra, A. & Gorostidi, M.
(2005). Sociedad Española de Hipertensión-Liga Española para la lucha contra la
Hipertensión Arterial. Guía Española de Hipertensión Arterial. Hipertensión, 22
Supl 2, 1-84.
Medley, A.R., Powell, T., Worthington, A., Chohan, C. & Jones, C. (2010). Brain injury
beliefs, self-awareness, and coping: A preliminary cluster analytic study based
within the self-regulatory model. 20, 899-921. Neuropsychologycal Rehabilitation,
20, 899-921.
Meng, L., Chen, D., Yang, Y., Zheng, Y. & Hu, R. (2012). Depression increases the risk
of hypertension incidence: a meta-analysis of prospective cohort studies. Journal
of Hypertension, 30, 842-51.
Meyer, D., Leventhal, H. and Gutmann, M. (1985). Common sense models of illness:
The example of hypertension. Health Psychology, 4, 115-135.
Miglioretti, M., Mazzini, L., Oggioni, G. D., Testa, L. & Monaco, F. (2008). Illness
perceptions, mood and health-related quality of life in patients with amyotrophic
lateral sclerosis. Journal of Psychosomatic Research, 65, 603-609.
360
Millar, K., Purushotham, A.D., McLatchie, E., George, W.D. & Murray, G.D. (2005). A
1-year prospective study of individual variation in distress, and illness perceptions,
after treatment for breast cancer. Journal of Psychosomatic Research, 58, 335-
342.
Molloy, G.J., Gao, C., Johnston, D.W., Witham, M., Struthers, A. et al. (2009).
Adherence to angiotensin-converting-enzyme inhibitors and ill-ness beliefs in older
heart failure patients. European Journal of Heart Failure, 11, 715-720.
Moss-Morris, R. (1997). The role of illness cognitions and coping in the aetiology and
maintenance of the chronic fatigue syndrome (CFS). In K.J. Petrie y J. Weinman
(dirs.). Perceptions in health and illness: Current research and applications, (pp.
411-439). Londres: Harwood Academic.
Moss-Morris, R. (2005). Symptom perceptions, illness beliefs and coping in chronic
fatigue syndrome. Journal of Mental Health, 14, 223-235.
Moss-Morris, R. & Petrie, K.J. (2001). Discriminating between chronic fatigue
syndrome and depression: a cognitive analysis. Psychologycal Medicine, 31, 469-
79.
Moss-Morris, R. & Chalder, T. (2003). Illness perceptions and levels of disability in
patients with chronic fatigue syndrome and rheumatoid arthritis. Journal of
Psychosomatic Research, 55, 305-308.
Moss-Morris, R., Petrie, K.J. y Weinman, J. (1996). Functioning in chronic fatigue
syndrome: Do illness perceptions play a regulatory role? British Journal of Health
Psychology, 1, 15-25.
Moss-Morris, R., Weinman, J., Petrie, K., Horne, R., Cameron, L. & Buick, D. (2002).
The Revised Illness Perception Questionnaire (IPQ-R). Psychology & Health, 17,
1-16.
Mozaffarian, D., Wilson, P.W. & Kannel (2008). Beyond Established and Novel Risk
Factors: Lifestyle Risk Factors for Cardiovascular Disease. Kannel Circulation,
117, 3031-3038.
Murphy, H., Dickens, C., Creed, F. & Bernstein, R. (1999). Depression, illness
perception and coping in rheumatoid arthritis. Journal of Psychosomatic Research,
46, 155-164
Murray, K.A., Murphy, D.J., Clements, S.J., Brown, A. & Connolly, S.B. (2014).
Comparison of uptake and predictors of adherence in primary and secondary
prevention of cardiovascular disease in a community-based cardiovascular
prevention programme (MyAction Westminster). Journal of Public Health, 36, 644-
650.
361
Nabi, H., Chastang, J.F., Lefèvre, T., Dugravot, A., Melchior, M., Marmot, M.G. et al.
(2011). Trajectories of Depressive Episodes and Hypertension Over 24 Years: The
Whitehall II Prospective Cohort Study. Hypertension, 57, 710-716.
Nagele, E., Jeitler, K., Horvath, K., Semlitsch, T., Posch, N., Herrmann, K. et al. (2014).
Clinical effectiveness of stress-reduction techniques in patients with hypertension:
systematic review and meta-analysis. Journal of Hypertension, 32, 1936-1944.
Newell, M., Modeste, N., Marshak, H. & Wilson, C. (2009). Health Beliefs and the
Prevention of Hypertension in a Black Population Living in London. Ethnicity &
Disease, 19, 35-41.
Nicklas, L.B., Dunbar, M. & Wild, M. (2010). Adherence to pharmacological treatment of
non-malignant chronic pain: the role of illness perceptions and medication beliefs.
Psychological Health, 25, 601-15.
Norfazilah, A., Samuel, A., Law, P.T., Ainaa, A., Nurul, A., Syahnaz, M.H. et al. (2013).
Illness perception among hypertensive patients in primary care centre UKMMC.
Malays Family Physician, 8, 19-25.
Olafiranye, O., Jean-Louis, G., Zing, F., Nunes, J. & Vincent, M.T. (2011). Anxiety and
cardiovascular risk: Review of Epidemiological and Clinical Evidence. Mind Brain,
2, 32-37.
Orbell, S., Hagger, M., Brown, V. & Tidy, J. (2006). Comparing two theories of health
behavior: A prospective study of noncompletion of treatment following cervical
cancer screening. Health Psychology, 25, 604-615.
Orbell, S., Johnston, M., Rowley, D., Espley, A. & Davey, P. (1998). Cognitive
representations of illness and functional and affective adjustment following surgery
for osteoarthritis. Social Science and Medicine, 47, 93-102.
Orbell, S., O’Sullivan, I., Parker, R., Steele, B., Campbell, C. & Weller, D. (2008).Illness
representations and coping following an abnormal colorectal cancer screening
result. Social Science & Medicine, 67, 1465-1474.
Ortiz, H., Vaamonde, R.J., Zorrilla, B., Arrieta, F., Casado, M. & Medrano, M.J. (2011).
Prevalencia, grado de control y tratamiento de la hipertensión arterial en la
población de 30 a 74 años de la comunidad de Madrid. Estudio Predimerc. Revista
Española de Salud Pública, 85, 329-338.
Ostrowski, F., Artyszuk, l., Lewandowski, J. & Gaciong, Z. (2008). High normal blood
pressure–clinical fact or myth? Arterial Hypertension, 12, 374-381.
Parry, S.D., Corbett, S., James, P., Barton, J.R. & Welfare, M.R. (2003). Illness
perceptions in people with acute bacterial gastro-enteritis. Journal of Health
Psychology, 8, 693-704.
362
Peters, R.M., Aroian, K.J. & Flack, J.M. (2006). African American Culture and
Hypertension Prevention. West Journal of Nursing Research, 28, 831-863.
Pereira, M., Carreira, H., Vales, C., Rocha, V., Azevedo, A. & Lunet, N. (2012). Trends
in hypertension prevalence (1990-2005) and mean blood pressure (1975-2005) in
Portugal: A systematic review. Blood Pressure, 4, 220- 226.
Petrie, K.J., Broadbent, E., & Kydd, R. (2008). Illness perceptions in mental health:
Issues and potential applications. Journal of Mental Health, 17, 559–564.
Petrie, K.J., Cameron, L.D., Ellis, C.J., Buick, D. & Weinman, J. (2002). Changing
illness perceptions after myocardial infarction: An early intervention randomised
controlled trail. Psychosomatic Medicine, 64, 580-586.
Petrie, K.J. & Weinman, J. (dirs.) (1997). Perceptions of health and illness. London:
Harwood Academic.
Petrie, K.J., Weinman, J., Sharpe, N. & Buckley, J. (1996). Role of patients’ view of
their illness in predicting return to work and functioning after myocardial infarction:
longitudinal study. British Medical Journal, 312, 1191-1194.
Pickett, S., Allen, W., Franklin, M. & Peters, R.M. (2014). Illness beliefs in African
Americans with hypertension. Western Journal of Nursing Research, 36, 152-170.
Pimm, T.J. & Weinman, J. (1998). Applying Leventhal’s self-regulation model to
adaptation and intervention in rheumatic disease. Clinical Psychology and
Psychotherapy, 5, 62-75.
Perk, J., De Backer., G., Gohlke, H., Graham, I., Reiner, Z., Verschuren, M. et al.
(2012). European Guidelines on cardiovascular disease prevention in clinical
practice (version 2012). The Fifth Joint Task Force of the European Society of
Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical
Practice. European Heart Journal, 33, 1635-1701.
Pitsavos, C., Milias, G.A., Panagiotakos, D.B., Xenaki, D., Panagopoulos, G. &
Stefanadis, C. (2006). Prevalence of self-reported hypertension and its relation to
dietary habits, in adults; a nutrition & health survey in Greece. BMC Public Health,
6, 206-214.
Player, M.S. & Peterson, L.E. (2011). Anxiety Disorders, Hypertension, and
Cardiovascular Risk: A Review. The International Journal of Psychiatry in
Medicine, 41, 365-377.
Porrit, J.M., Sufi, F., Barlow, A. & Baker, S.R. (2013). The role of illness beliefs and
coping in the adjustment to dentine hypersensitivity. Journal of Clinical
Periodontology, 41, 60-69.
Rainforth, M.V., Schneider, R.H., Nidich, S.I., Gaylord-King, C., Salerno, J.W. &
Anderson, J.W. (2007). Stress reduction programs in patients with elevated blood
363
pressure: A systematic review and meta-analysis. Current Hypertension Reports,
9, 520-528.
Rajpura, J. & Nayak, R. (2014). Medication adherence in a sample of elderly suffering
from hypertension: evaluating the influence of illness perceptions, treatment
beliefs, and illness burden. Journal of Managed Care Pharmacy, 20, 58-65.
Raude, J. & Setbon, M. (2011). Predicting the Lay Preventive Strategies in Response
to Avian Influenza from Perceptions of the Threat. PLoS ONE 6, 1-12.
Rees, G., Fry, A., Cull, A. & Sutton, S. (2004). Illness perceptions and distress in
women at increased risk of breast cancer. Psychology & Health, 19, 749-765.
Richards, H.L., Fortune, D.G., Chong, S.L., Mason, D.L., Sweeney, S.K. et al. (2004).
Divergent beliefs about psoriasis are associated with increased psychological
distress. Journal of Investigative Dermatology, 123, 49-56.
Rooijmans, H.G.M. (1998). Illness perceptions, coping and functioning in patients with
rheumatoid arthritis, chronic obstructive pulmonary disease and psoriasis. Journal
of Psychosomatic Research, 44, 573-585.
Ross, S., Walker, A. & McLeod, M.J. (2004). Patient compliance in hypertension: role
of illness perceptions and treatment beliefs. Journal of Human Hypertension, 18,
607-613.
Rozema, H., Völlink, T. & Lechner, L. (2009). The role of illness representations in
coping and health of patients treated for breast cancer. Psycho-oncology, 18, 849-
857.
Rutter, C.L. (2001). Illness representations of sufferers with irritable bowel syndrome
(IBS). Psychosomatic MedIcine, 63, 1087-1092.
Rutter, C.L., Barton, S.G., Rutter, D.R. (2002). Does the initial health perception of IBS
patients, recorded at the time of diagnosis, change over the following two months,
and how valuable is this health perception in predicting outcome? A pilot study.
Gut, 50, 258-268.
Rutter, C.L. & Rutter, D.R. (2002). Illness representation, coping and outcome
inirritable bowel syndrome (IBS). British Journal of Health Psychology, 7, 377-92.
Sabzmakan, L., Morowatisharifabad, M.A., Mohammadi, E., Mazloomy-Mahmoodabad
S.S., Rabiei, K. et al. (2014). Behavioral determinants of cardiovascular diseases
risk factors: A qualitative directed content analysis. ARYA Atheroscler, 10, 71-81.
Saleh Ali, N., Shonk, C. & Saleh El-Sayed, M. (2013). Associations between healthy
behaviors and coronary heart disease risk factors in women. Journal of Nursing
Education and Practice, 3, 1-9.
364
Savoca, M.R., Quandt, S.A., Evans, C.D., Flint, T.L., Bradfield, A.G., Morton, T.B. et al.
(2009). Views of hypertension among young African Americans who vary in their
risk of developing hypertension. Ethnicity & Disease, 19, 28-34.
Scharloo, M., Baatenburg, R., Langeveld, T., van Velzen-Verkaik, E., Doorn-op, M. &
Kaptein, A. (2005). Quality of life and illness perceptions in patients with recently
diagnosed head and neck cancer. Head and Neck, 15, 857-863.
Scharloo, M., Kaptein, A.A., Weinman, J., Bergman, W., Vermeer, B.J. & Rooijmans,
H.G. (2000). Patients’ illness perceptions and coping as predictors of
functional status in psoriasis: A 1-year follow up. British Journal of Dermatology,
142, 899-907.
Scharloo, M., Kaptein, A.A., Weinman, J., Hazes, J.M., Willems, L.N.A., Bergman, W.
& Rooijmans, H.G. (1998). Illness perceptions, coping and functioning in patients
with rheumatoid arthritis, chronic obstructive pulmonary disease and psoriasis.
Journal of Psychosomatic Research, 44, 573-585.
Scharloo, M., Kaptein, A.A., Weinman, J.A., Willems, L.N.A. & Rooijmans, H.G. (2000).
Physical and psychological correlates of functioning in patients with chronic
obstructive pulmonary disease. Journal of Asthma, 37, 17-29.
Schiaffino, K.M., Shawaryn, M.A. & Blum, D. (1998). Examining the impact of illness
representations on psychological adjustment to chronic illnesses. Health
Psychology, 17, 262-268.
Searle, A., Norman, P., Thompson, R. & Vedhara, K. (2007). Aprospective examination
of illness beliefs and coping in patients with type 2 diabetes. British Journal of
Health Psychology, 12, 621-638.
Selem, S.S., Castro, M.A., Galvao, C.L., Lobo, D.M. & Fisberg, R.M. (2013). Validity of
self-reported hypertension is inversely associated with the level of education in
Brazilian individuals. Arquivos Brasileiros de Cardiologia, 100, 52-59.
Sensky, T. (1990). Patients` reactions to illness: Cognitive factors determine responses
and are amenable to treatment. British Medical Journal, 300, 622-623.
Sensky, T. & Catalán, J. (1992). Asking patients about their treatment: Why their
answers should not always be taken at face value. British Medical Journal, 305,
1109-1110.
Sharpe, L., Sensky, T. & Allard, S. (2001). The course of depression in recent onset
rheumatoid arthritis-the predictive role of disability, illness perceptions, pain and
coping. Journal of Psychosomatic Research, 51, 713-9.
Skinner, T.C., Hampson, S.E. & Fife-Schaw, C. (20029. Personality, personal model
beliefs, and self-care in adolescents and young adults with type 1 diabetes. Health
Psycholy, 2, 61-70.
365
Skinner, T.C., Carey, M.E., Cradock, S., Dallosso, H.M., Daly, H., Davies, M.J. et al.
(2011). Comparison of illness representations dimensions and illness
representation clusters in predicting outcomes in the first year following diagnosis
of type 2 diabetes: Results from the DESMOND trial. Psychology and Health, 26,
321-335.
Skinner, T.C., Howells, L., Greene, S., Edgart, K., McEvilly, A. y Johansson, A. (2003).
Development, reliability and validity of the Diabetes Illness Representations
Questionnaire: Four studies with adolescents. Diabetic Medicine, 20, 283-289.
Snell, D.L., Surgenor, L.J., Hay-Smith, E.J., Williman, J. & Siegert, R.J. (2015). The
contribution of psychological factors to recovery after mild traumatic brain injury: Is
cluster analysis a useful approach? Brain Injury, 29, 291–299.
Sociedad Española de Oncología Médica (2014). Las cifras del cáncer en España, 6-
10.
Sparrenberger, F., Cichelero, F.T., Ascoli, A.M., Fonseca, F.P., Weiss, G., Berwanger
O. et al. (2009) Does psychosocial stress cause hypertension? A systematic
review of observational studies. Journal of Human Hypertension, 23, 12-19.
Stafford, L.P., Jackson, H.J. & Berk, M.M. (2008). Illness beliefs about heart disease
and adherence to secondary prevention regimens. Psychosomatic Medicine, 70,
942-948.
Sterba, K.R. & DeVellis, R.F. (2009). Developing a spouse version of the Illness
Perception Questionnaire-Revised (IPQ-R) for husbands of women with
rheumatoid arthritis. Psychology and Health, 24, 473-487.
Sullivan, H.W., Finney Rutten, L.J., Hesse, B.W., Moder, R.P., Rothman, A.J. &
McCaul, K.D. (2010). Lay representations of cancer prevention and early
detection: Associations with prevention behaviours. Preventing Chronic Disease,
7, 1-11.
Traeger, L., Penedo, F.J., Gonzalez, J.S., Dahn J.R., Lechner, S.C., Schneiderman, N.
et al (2009). Illness perceptions and emotional well-being in men treated for
localized prostate cancer. Journal of Psychosomatic Research, 67, 389-397.
Talley, S. (1999). Self-regulation activities used by individuals with schizophrenia.
Dissertation. Abstracts International: Section B. the Sciences and Engineering, 59
(12-B), 6265. US: Univ.Microfilms International.
Trask., C., Pahl, L. & Begeman, M. (2008). Breast self-examination in long-term breast
cancer survivors. Journal of Cancer Survivors, 2, 243-252.
Turk, D.C., Rudy, T.E. & Salovey, P. (1986). Implicit models of illness. Journal of
Behavioral Medicine, 9, 453-473.
366
Valderrama, A.L., Tong, X., Ayala, C. & Keenan, N.L. (2008). Prevalence of self-
reported hypertension, advice received from health care professionals, and actions
taken to reduce blood pressure among US adults health styles. The Journal of
Clinical Hypertension, 12, 222-232.
Valdés, S., García-Torres, F., Maldonado-Araque, C., Goday, A., Calle-Pascual, A.,
Soriguer, F. et al. (2014). Prevalence of Obesity, Diabetes and Other
Cardiovascular Risk Factors in Andalusia (Southern Spain). Comparison With
National Prevalence Data. The [email protected] Study. Revista Española de Cardiología
(English Edition), 67, 442-448.
Van Eenwyk, J., Bensley, L., Ossiander, E.M. & Krueger, K. (2012). Comparison of
examination-based and self-reported risk factors for cardiovascular disease,
Washington State, 2006-2007. Prevention of Chronic Disease, 9, 321-332.
Van Oort, L., Schröder, C.D. & French, D.P. (2011).What do people think about when
they answer the Brief Illness Perception Questionnaire? A 'think-aloud' study.
British Journal of Health Psychology, 16, 231-245.
Vaughan, R., Morrison, L. & Miller, E. (2003). The illness representations of multiple
sclerosis and their relations to outcome. British Journal of Health Psychology, 8,
287-301.
Van Oostrom, I., Meijers-Heijboer, H., Duivenvoorden, H.J., Brocker-Vriends., van
Asperen, C.J., Sijmons, R.H. et al. (2007a).The common sense model of self-
regulation and psychological adjustment to predictive genetic testing: a prospective
study. Psycho-Oncology, 16, 1121-1129.
Van Oostrom, I., Meijers-Heijboer, H., Duivenvoorden, H.J., Brocker-Vriends., van
Asperen, C.J., Sijmons, RH et al. (2007b). Prognostic factors for hereditary cancer
distress six months after BRCA1/2 or HNPCC genetic susceptibility testing.
European Journal of Cancer, 43, 71-77.
Van Oostrom, I., Meijers-Heijboer, H., Duivenvoorden, H.J., Brocker-Vriends., Van
Asperen, C.J., Sijmons, R.H. et al. (2007c). Comparison of individuals opting for
BRCA1/2 or HNPCC genetic susceptibility testing with regard to coping, illness
perceptions, illness experiences, family system characteristics and hereditary
cancer distress. Patient Education and Counseling, 65, 58-68
Wang, C., Miller, S.M., Egleston, B.L., Hay, J.L. & Weinberg, D.S. (2010). Beliefs about
the causes of breast and colorectal cancer among women in the general
population. Cancer Causes Control, 21, 99-107.
Weinman, J., Petrie, K., Moss-Morris, R. y Horne, R. (1996). The Illness Perception
Questionnaire: A new method for assessing the cognitive representation of illness.
Psychology ad Health, 11, 431-435.
367
Weinman, J., Petrie, K., Sharpe, N. y Walker, S. (2000). Causal attributions in patients
and spouses following a heart attack and subsequent lifestyle changes.
British Journal of Health Psychology, 5, 263-273.
Weinstein, N.D. (2000). Perceived probability, perceived severity, and health protective
behavior. Health Psychology 19, 65-74.
Wichowski, H.C. y Kubsch, S.M. (1997). The relationship of self-perception of illness
and compliance with self-care regimens. Social Psychiatry and Psychiatric
Epidemiology, 35, 500-507.
Wiehe, M., Fuchs, S.C., Moreira, L.B., Moraes, R.S., Pereira, G.M., Gus, M. et al.
(2006). Absence of association between depression and hypertension: results of a
prospectively designed population-based study. Journal of Human Hypertension,
20, 434-439.
Wilson, R.P., Freeman, A., Kazda, M.J., Andrews, T.C., Berry, L., Vaeth, P.A. et al.
(2002). Lay beliefs about high blood pressure in a low- to middle-income urban
African-American community: An opportunity for improving hypertension control.
The American Journal of Medicine, 112, 26-30.
Woith, W.M. y Larson, J.L. (2008). Delay in seeking treatment and adherence to
tuberculosis medications in Russia: A survey of patients from two clinics.
International Journal of Nursing Studies, 45, 1163-1174.
World Health Organization, (2013). Información general sobre la hipertensión en el
mundo. Geneva: World Health Organization.
World Health Organization, (1983). Prevención Primaria de la hipertensión arterial.
Informe Técnico n.686, Geneva.
Word Health Organization (2015). Cáncer Nota descriptiva N°297. Geneva: Word
Health Organization. Disponible en www.who.int/mediacentre/factsheets/fs297/.es
Zhang, W. & Li, N. (2011). Prevalence, risk factors, and management of
prehypertension. International Journal of Hypertension, 2011, Article ID 605359.
Ziarko, M., Mojs, E., Piasecki, B., & Samborski, W. (2014). The mediating role of
dysfunctional coping in the relationship between beliefs about the disease and the
level of depression in patients with rheumatoid arthritis. The Scientific World
Journal, 2014, 1-6.
Zugelj, U., Zupancic, M., Komidar, L., Kenda, R., Varda, N.M., Gregoric, A. (2010).
Self-reported adherence behavior in adolescent hypertensive patients: The role of
illness representations and personality. Journal of Pediatric Psychology, 35, 1049-
1060.